Abstract
Systems consolidation has mostly been treated as a neural construct defined by the time-dependent change in memory representation from the hippocampus (HPC) to other structures, primarily the neocortex. Here, we identify and evaluate the explicit and implicit premises that underlie traditional or standard models and theories of systems consolidation based on evidence from research on humans and other animals. We use the principle that changes in neural representation over time and experience are accompanied by corresponding changes in psychological representations, and vice versa, to argue that each of the premises underlying traditional or standard models and theories of systems consolidation is found wanting. One solution is to modify or abandon the premises or theories and models. This is reflected in moderated models of systems consolidation that emphasize the early role of the HPC in training neocortical memories until they stabilize. The fault, however, may lie in the very concept of systems consolidation and its defining feature. We propose that the concept be replaced by one of memory systems reorganization, which does not carry the theoretical baggage of systems consolidation and is flexible enough to capture the dynamic nature of memory from inception to very long-term retention and retrieval at a psychological and neural level. The term “memory system reorganization” implies that memory traces are not fixed, even after they are presumably consolidated. Memories can continue to change as a result of experience and interactions among memory systems across the lifetime. As will become clear, hippocampal training of neocortical memories is only one type of such interaction, and not always the most important one, even at inception. We end by suggesting some principles of memory reorganization that can help guide research on dynamic memory processes that capture corresponding changes in memory at the psychological and neural levels.
Keywords: Memory consolidation, Hippocampus, Cortical plasticity, Schema, Gist, Event Memory
Introduction
Recent empirical and theoretical developments have led to a burgeoning interest in memory engram (trace) formation and consolidation1–5. However, many of the underlying premises guiding research and theory on memory systems consolidation have either not been stated explicitly or have not been examined critically. Here, we identify and evaluate what we believe are the crucial premises in the hope that they will lead to a more clear-eyed approach to research on memory phenomena that are described within a systems consolidation framework. At the heart of this critical examination is the idea, first enunciated by Burnham6, that memory consolidation is as much a psychological process as a neural one and that an appreciation of both is necessary if we are to have a full understanding of the phenomenon7,8.
Historical background and definitions
The term “consolidation” began as a psychological construct to describe an underlying, time-dependent process that enables learning or memory to become stabilized so that it is relatively immune to disruption or loss by subsequent, interfering events9,10. Once the sensitive period for consolidation has passed, interfering events lose their efficacy and memory is stable. In the initial, behavioural experiments, the consolidation period was on the order of minutes.
Investigators noted a similar temporal relationship between brain damage and memory loss, in which memory for prior events was lost or impoverished if they occurred close to the onset of trauma, whereas memory for more remote events was relatively unaffected. Linking the evidence from brain damage to that in the psychological laboratory, researchers speculated that the temporal gradient that was observed in both was related to the time it took memories to become consolidated. The discovery that damage to the medial temporal lobes (MTL), and HPC, in particular, led to a temporally graded retrograde amnesia of about 3 to 11 years11,12, placed the HPC at the centre of neurobiological theories of memory consolidation13–16.
The time course of the temporal gradient caused by brain damage, however, was orders of magnitude larger than that observed in the initial, behavioural experiments and in subsequent experiments in which the disruptive event could be electroconvulsive shock or neurochemical blockade7,15,16. To reconcile these different time courses, it was suggested that there might be at least two consolidation processes. One process is rapid and operates at the cellular or synaptic level. Termed cellular or synaptic consolidation, it consists of a cascade of cellular and synaptic neurochemical events initiated by learning and ending within hours at most. There is ample neurobiological evidence for cellular synaptic consolidation, which is beyond the scope of the present review. Nonetheless, aspects of the underlying neurochemical events that confer stability are ongoing for the duration of a memory’s life17. Moreover, studies on reconsolidation demonstrate that presumably consolidated memories can themselves be disrupted, leading to destabilization of the memory trace18. Although we now know that multiple forms of cellular consolidation operate over extended durations, originally an additional process was hypothesized in order to account for longer durations of memory lability that could not be explained by immediate cellular processes. The other, more gradual process was termed systems consolidation19. It is sustained over much longer periods of time, sometimes decades, and involves the reorganization of memory at the level of large-scale neural systems. According to the traditional view, in systems consolidation, acquisition, retention, and retrieval of declarative memory (episodic and semantic) are initially dependent on the HPC, but with time and experience, memory is consolidated in extra-hippocampal structures, so that memories can be retained and recovered independently of the HPC and related structures of the extended hippocampal system15,20–22.
Standard consolidation theory or model and its derivatives
These observations formed the basis for the standard model of memory consolidation, a version of which is displayed in Figure 1. Neuropsychological theories of declarative memory formation all assume that the HPC binds into a hippocampal-neocortical ensemble (memory trace or engram), the neuronal pattern that underlies the content, context, and experience of an event23. The sparsely-coded hippocampal neurons in this ensemble serve as a pointer or index to the distributed neocortical representations of the engram24,25. At retrieval, an internally generated or externally driven cue interacts with the hippocampal index, which, in turn, reactivates the ensemble to yield a detailed memory of the event. According to the standard model of systems consolidation, over time, the links among the neocortical elements of the ensemble that constitutes the content of the memory trace, guided/reinforced by the HPC, are strengthened to the point that they can be reactivated without hippocampal input. This marks the end of the systems consolidation process, at which point memories are retrieved directly from the neocortex and independently of the HPC20,23,26,27.
Figure 1. Premises of standard consolidation theory.
(a) Traditional standard consolidation model. Hippocampal-neocortical connections formed at encoding are weakened with time as neocortical connections are strengthened. (b) Modified model in which hippocampal-neocortical connections mediating recent memory are replaced by prefrontal neocortical connections for remote memories, accompanied by frontal inhibition of hippocampal connections. The thicker the line, the stronger the connection. Lines and nodes that are gray have lost their functional contribution. Background premises common to all models and theories of memory and systems consolidation1–4,8,20–22,28–34. [Adapted by permission from Springer Nature: Springer Nature, Nature Reviews Neuroscience, The organization of recent and remote memories, Paul W Frankland and Bruno Bontempi (2005) https://doi.org/10.1038/nrn160727]
Premises underlying standard consolidation theory and its derivatives
Although consolidation was first a psychological construct, some of the psychological phenomena from which the concept evolved were neglected as neurobiological approaches to studying memory consolidation evolved. As a result, systems consolidation became primarily a neural construct, and theory and experiments typically focused on the neurobiological processes by which memories become independent of the HPC and come to rely on the neocortex. Figure 1 captures the elements of the standard model well and helps us identify the set of premises underlying our ideas of systems consolidation1–4,8,20–22,28–34. Some of the premises have been stated explicitly, but others are assumed implicitly yet play a major role. Here, we identify what we consider to be these major premises.
Although each of the premises is stated separately, it will become apparent in the ensuing discussion and evaluation of the premises that many of them are interrelated.
1. Binding hub (common to all memory theories): The HPC binds co-activated neocortical (and other) neurons that represent the experience of an event into a hippocampal-neocortical ensemble (memory trace or engram).
2. Index/pointer (common to all memory theories): The HPC acts as an index or pointer, and possibly a spatial scaffold, whose activation reinstates the event in memory.
Premises of the standard model of systems consolidation:
3. Initiation: Memory consolidation begins with the presentation of the to-be-remembered event.
4. Gateway: The HPC is the gateway, or the most efficient pathway, to neocortical representations of all declarative memory.
5. Strengthening of neocortical connections: With time, and replay, the connections among the neocortical elements are strengthened until they are sufficiently strong so that activating any of them can reactivate the entire ensemble without help from the HPC. In the modified model (Figure 1b), connections to the prefrontal cortex are also strengthened. Concurrently, hippocampal binding is diminished. It is these processes that constitute systems consolidation.
6. Time-limited: The role of the HPC in reactivating the neocortical component of the memory trace is time-limited. As a result, there is a temporal gradient of retrograde amnesia with recently acquired, but not fully consolidated, memories being more vulnerable to disruption than more remote, consolidated memories.
7. Equivalence: All declarative memories, whether event-specific and detail-rich (episodic) or generalized (semantic), undergo the same process of systems consolidation and achieve the same outcome, namely independence from the HPC.
8. Comparability: According to the standard model, the neocortical elements mediating event-specific memories remain unchanged throughout the consolidation process (Figure 1). Except for strengthening of connections among the neocortical elements and loosening those to the HPC, the event-specific memory represented in the neocortex retains its detail-rich characteristics, whether or not it is dependent on the HPC for retention and retrieval. Conversely, generalized memories supported by hippocampal and neocortical representations are also indistinguishable from one another. In some versions of the standard model, the HPC, in addition to helping strengthen neocortical connections, both supports and promotes the reorganization of neocortical connections, although the relation of such reorganization to changes in psychological representation remains unspecified.
9. Substitution: Post-consolidation retrieval can be implemented by activating one of the neocortical elements directly, leading to the reactivation of the entire ensemble. Alternatively, activation of the neocortical elements that represent the content of the memory may be mediated by another neocortical structure (see prefrontal cortex in Figure 1), which plays a role comparable to the HPC, effectively replacing it once consolidation is completed. The primary candidate is the ventromedial prefrontal cortex (vmPFC).
10. Unidirectional: Systems consolidation is unidirectional, proceeding from the HPC to the neocortex.
11. Non-reversible: Systems consolidation and memory dynamism end when stable cortical traces are created. Once consolidated, the process cannot be reversed. Retrieving memories does not make them more susceptible to interference or loss.
Premise 8 (comparability) has been a major point of contention for the past three decades and therefore needs elaboration. In the interest of simplicity, the figure captured one aspect of the standard theory but, in the process, eliminated a more nuanced view of memory as dynamic, even by proponents of the standard model. Perhaps a better way of stating Premise 8 is that memories still dependent on the HPC are fundamentally similar to those that can be retained or retrieved independently of it. They retain the same detail-rich experiential characteristics that hippocampal event-specific memories have and the same informational detail that event-general memories have throughout the consolidation process.
Evaluation of premises
In the remainder of the article, we evaluate each of the premises in light of recent evidence. Here, we highlight only the studies that we believe are representative of a larger body of evidence or make a particularly salient point. For more extensive, recent reviews, we refer the reader to Gilboa and Moscovitch8, Gilboa and Marlatte35, Gisquet-Verrier and Riccio36, Hebscher et al.37, Moscovitch and Gilboa38, Sekeres et al.7, and Sutherland et al.39 for views consistent with our position and to Fernandez and Morris40 and Squire et al.41 for views opposed to it.
We begin with Premises 5 (strengthening neocortical connections) and 6 (time-limited), which are tightly linked and form the core of the standard model or theory of systems consolidation (SCT), namely that by strengthening neocortical connections of the engram, it becomes consolidated over time and independent of the HPC20,41. As a result, memories can be retained and recovered without engaging the HPC. Although there was early evidence that hippocampal damage led to temporally extensive and sometimes profound memory loss20,42–45, it was not until Nadel and Moscovitch29 proposed their multiple trace theory (MTT) that opposition to SCT became more widespread. A crucial element of MTT is the emphasis on the importance of taking into consideration psychological representations, in particular, the distinction between episodic and semantic memory (see Kinsbourne and Wood46 as precursors). MTT posited that episodic memory is always mediated by the HPC, no matter how long ago it was acquired. By contrast, semantic memories, which capture statistical regularities among episodes, among other of its aspects, are represented in the neocortex independently of the HPC, sometimes fairly rapidly after acquisition47 but more often after a prolonged period of consolidation.
Evidence in favour of MTT began to accrue from studies of patients with various neural or psychiatric disorders associated with hippocampal damage or dysfunction7,38,48,49, even if the damage was confined to small components of the HPC, such as its subfields50,51 or projections52, and to regions of the extended hippocampal system53–56 (see reviews by Winocur et al.30,57 and Sekeres et al.7). In all cases, remote event-specific memory loss was temporally extensive, often without a gradient, whereas generalized memory was relatively spared (but see Bayley, Hopkins, and Squire58; Kirwan, Bayley, Galvin, and Squire59; and Squire et al.41). The same held true for loss of context-specific memories in rodents after lesions of the HPC or its disruption by neurochemical or optogenetic procedures, whereas context-general memories were relatively spared60–62 (see reviews in Jasnow et al.63, Sekeres et al.7, and Moscovitch and Gilboa38).
Converging evidence from neuroimaging studies reinforced these findings in humans and rodents. Functional neuroimaging studies in humans showed that the HPC was activated by the retrieval of event-specific memories no matter how old they were64–68. (See Moscovitch et al.48 and Moscovitch and Gilboa38 for review.) Comparably, studies in rodents reported that early gene expression in the HPC was reduced for both recent and remote context-general memories. This evidence is consistent with hippocampal involvement in representing context-specific but not context-general memories regardless of age69–71. Early notions of temporal gradients in amnesia distinguished episodic (event-specific) and semantic (generalized) memories, suggesting that only the former always depended on the HPC. When more sensitive measures of semantic representations are used, patients with MTL damage demonstrate deficits in lifelong semantic knowledge, including vocabulary specificity and richness72,73, specific knowledge of geography and famous personalities74, knowledge of semantic narratives75, and aspects of personal semantics76. Thus, the nature of representations (rich, detailed, and relational) rather than the age and type of memory (episodic vs. semantic) is what appears to drive hippocampal involvement.
Thus, Premise 6, which stated that hippocampal involvement in memory consolidation is time-limited, is clearly refuted by this evidence (but see Squire et al.41). Premise 5 may still hold in that neocortical connections may indeed be strengthened by time and experience, but if they are, such strengthening is not sufficient to support the retrieval of detail-rich, event-specific memories without hippocampal involvement.
These findings also refute Premise 7 (equivalence) in that the process of consolidation does not affect all declarative memories equivalently. The fate of event-specific and detail-rich episodic and semantic memories appears to be fundamentally different from that of generalized semantic memories (but see below for a critique of systems consolidation accounts of semantic representations).
Since MTT was proposed, there have been notable advances in our understanding of memory and its neural correlates. In particular, the distinction between details (verbatim) and the gist in event-specific memory has come into prominence57,77,78, as has the distinction between categorical knowledge and schemas in semantics8,35,79,80. These advances have led us to use the more neutral terms detailed and gist event-specific memory representations (see Rubin and Umanath81). Gist refers to a summary of what happened at a particular birthday party bereft of most details (e.g., Sam brought out the birthday cake). We reserve the term episodic memory to refer to detailed, perceptually-based relational representations of high specificity that also includes phenomenological re-experiencing of a particular event (e.g., details of a birthday party: descriptions of the cake, who attended and what they wore, and so on, coupled with a sense of personal time travel). As noted below, the information comprising episodic memory is not limited to detailed, perceptual representations, but they must be included for the memory to be considered episodic. Likewise, with respect to semantic memory, we distinguish between event-general schemas and abstracted ‘encyclopedic’ semantic knowledge, such as categorical knowledge. Schemas refer to what is common across similar events (e.g., what happens at a typical, rather than a particular, birthday party). We retain the term semantic memory to refer to categorical knowledge or meaning (what ‘birthday party’ means). Another way of conceptualizing these different types of memory is to distinguish between event (context)-specific and generalized memory. Event-specific memories are further characterized by their detail richness, from detail-rich to gist, and generalized memories may be general event schemas or more abstract semantic categories.
At the neural level, semantic processing engages the lateral prefrontal cortex, the medial prefrontal cortex (mPFC), and anterior temporal and inferotemporal cortices but to different degrees; the mPFC is more strongly implicated in schema processes, whereas temporal cortices are more strongly associated with semantic processes7,82–87. The HPC, too, is no longer treated as a unitary structure, and evidence suggests that event details are mediated by the posterior regions and event gist by the anterior HPC8,79,88. As the DG and CA3 subfields have greater representation in the posterior HPC and CA1, in the anterior, there has been some indication that these subfields are more implicated in processing details (specificity) and gist, respectively67,89–91. (For review, see Jasnow et al.63 and Moscovitch and Gilboa38).
We focus on the HPC and mPFC, the main structures mentioned above, as they seem to be hubs of more distributed networks implicated in different types of memory which include the angular gyrus, anterior and inferior temporal lobes, and thalamus, among others. The function of these related structures in the networks is not as clearly delineated with respect to different types of memory as the ones on which we’ve focused. One structure whose role in memory dynamics over time has been more extensively studied is the thalamus. Consistent with its anatomical location, the thalamus plays a central role in memory formation and representation. Patterns of retrograde amnesia in patients with thalamic involvement are very variable92. Focal thalamic lesions can lead to ungraded extensive retrograde amnesia for detailed event memory, short-duration retrograde amnesia, or intact memory for pre-injury events. More extensive retrograde amnesia may be related to the disconnection of thalamocortical (mostly thalamofrontal) projections, as seen, for example, in Korsakoff syndrome92. Experimental studies show that for detailed, context-specific memories, the thalamus mediates vmPFC-hippocampal interactions at both short93–95 and long96 delays. For more generalized forms of memory, which tend to be more dominant at long delays, thalamic nuclei form part of vmPFC-thalamic-cortical circuits independent of the HPC95,97,98. We note that these long experimental delays would be considered quite short when measuring retrograde amnesia gradients (days to weeks) and that the extent to which cortico-thalamic-cortical circuits are involved in forming new generalized memories at encoding is unknown. For a more in-depth discussion of these related structures, we refer the interested reader to Gilboa and Moscovitch8 and Moscovitch and Gilboa38.
Anticipating these more nuanced accounts of functional neuroanatomy, Winocur and Moscovitch57 and Sekeres et al.7 extended MTT by advancing their trace transformation theory (TTT) to account for the dynamic nature of memory by proposing that there is a close (lock-step) correspondence between psychological and neural representations of memory with time and experience. According to TTT, the different forms of memory can coexist and interact with one another, and the ones expressed in behaviour are determined not only by time and experience but also by the demands of the task, the goals of the individual, and likely all other factors that traditional studies on memory formation and retention have identified as important. Crucially, for whichever form of memory is expressed, there is a corresponding neural correlate that mediates it. Thus, at the heart of TTT is the principle of functional-neural isomorphism which states that “representations that differ from one another must necessarily be mediated by different structures (collections of neurons), and representations mediated by different structures must necessarily differ in some fundamental way from one another”99 (p. 109).
Its corollary is that there is neural-psychological representation correspondence (NPRC), namely that each type of representation is mediated by its corresponding structure and vice versa. If detail-rich memory is mediated by the HPC, this relationship should hold regardless of whether the memory occurred recently or long ago, as described above, or even whether it is episodic or detail-rich semantic72,74,100–102. Conversely, these principles suggest that if there is a change in the mediating structure, which sometimes occurs as memories age, there should also be a change in the nature of the psychological representation8.
The correspondence, however, can take forms other than those linking a psychological representation to a particular structure. For example, the level of activation of one or another structure may not track changes in psychological representation, but such correspondences may occur with the pattern of activation in that structure or across a distributed network of structures, which can be delineated by multivariate analyses. The interpretation of correspondences between neural and psychological representations in the memory domain is not fundamentally different from the interpretation of these correspondences in other domains, such as perception, problem-solving, or language. The point we wish to emphasize is that the nature of the psychological representation must be considered if we are to understand the nature of the neural representation and vice versa. For example, if two psychological representations are not distinguished from one another at a particular site, such as the HPC, we would conclude that the HPC is not sensitive to those differences. There should, however, be another structure, or network of structures, whose level of activation or pattern of activity can account for those psychological differences.
The evidence, consistent with these principles, undermines Premises 8 (comparability) and Premise 9 (substitution). Representations of event-specific memories in the neocortex are not comparable to those in the HPC. Neocortical memory representations are impoverished in detail, specificity, and vividness but are equivalent or even superior to hippocampal representations in core semantics and schemas, as seen in behavioural and functional magnetic resonance imaging (fMRI) studies in patients with damage or dysfunction of the extended hippocampal system and in fMRI studies of neurotypical people103,104. The same holds for rodents whose context-specific memories are compromised in favour of context-general memories following HPC lesions or disruption and in studies measuring hippocampal and neocortical activation7,63,90. If event-specific memories retain their detail, vividness, and specificity, the HPC is implicated no matter how long ago the memory was acquired. As a side note, in all the human research described above, semantics and schemas were acquired before the HPC was damaged, leaving open the possibility that the HPC is needed for their acquisition, as traditional models of consolidation predict. We consider this possibility in our discussion of Premise 10 below and note that there are many instances in which schemas and semantics can be acquired relatively normally without the HPC, although in other instances the HPC seems necessary105–108. It is not yet clear what accounts for these differences, but there is enough evidence to suggest that how information is encoded and retrieved may be determining factors, as well as the type of schemas and semantics37,71,74,108–111. For example, concepts that are quite detailed, and even context-defined, rely on the HPC in a manner similar to episodic memories, while core aspects of semantic memory may not implicate the HPC72,74,100,105,112.
In a minority of studies, neocortical event-specific representations are reported to be equivalent in quality to hippocampal ones113,114. The source of this discrepancy, however, has yet to be determined, but one possibility is that measures of richness, vividness, and event specificity in those studies have been compromised (see discussion in Sekeres et al.7 and Moscovitch and Gilboa38).
NPRC is also seen along the long axis of the HPC and its subfields. Highly detailed, event-specific memories depend more on the posterior (dorsal in rodents) than anterior (ventral in rodents) HPC, and on DG/CA3 subfields more than on CA1 subfields, whereas the reverse is true for event-specific gist-like representations67,88,89,115–117. Damage to the mPFC, implicated in processing schemas, and to ventral HPC and CA1 implicated in processing gist, impairs retention and retrieval of schema and gist representations of recent and remote memories118–120. Detail-rich aspects of memory can remain relatively preserved if supported by proper cuing121,122. By contrast, when the HPC is damaged or dysfunctional, detail-rich event memory, whether recent or remote, remains impoverished, even though the mPFC is intact7,8,30. Such findings are contrary to Premise 9, which posits that the mPFC can serve as a substitute for the HPC in activating detailed, mnemonic representations; it appears that the vmPFC cannot replace hippocampally-supported representations, no matter how remote they are.
The correspondence between psychological representations and their neural correlates is observed both when memories are newly acquired and when they age. Thus, what determines whether or not there is a change in neural representation with time is not the age of the memory, as traditional systems consolidation theories posit, but the nature of the memory representation that is being expressed.
According to TTT and NPRC, the reverse should also hold, namely that changes in the neural correlate being activated should be accompanied by corresponding changes in the psychological representation being expressed. This is seen most dramatically in re-consolidation123,124. Re-consolidation refers to the condition in which the synaptic consolidation process is reversed, such that a memory that appears to have become independent of the HPC with time, once again becomes dependent on it after the organism is re-exposed to the training context or relevant aspects of it. Using rats, Winocur et al.125 showed that the memory that was independent of the HPC was context-general, but once re-exposure occurred, it became context-specific; this pattern is consistent with the return of hippocampal involvement and dominance of expression of context-specific over context-general representations. These findings, along with similar ones126, refute Premise 11 that systems consolidation is not reversible and, in fact, show that memory consolidation, in general, may be reversible. These findings also, to an extent, refute Premise 10, that systems consolidation is unidirectional, always proceeding from the HPC to the neocortex, particularly the mPFC.
Additional evidence against Premise 10 comes from studies showing that the mPFC can contribute to the formation of HPC-dependent memories. Once schemas are acquired, the formation and retention of HPC-dependent memories proceed more rapidly in rodents and humans37,111,127–131. Even without evidence of pre-existing schemas, intact mPFC and anterior temporal cortex facilitate the formation of long-lasting hippocampally-dependent episodic memories132–134, with the extent of functional connectivity between these regions and the HPC being related to memory formation and retention135–138.
To the extent that schemas are reinstated prior to stimulus presentation (a birthday party schema is reinstated prior to all the events that occur at the party), it can be argued that memory formation is initiated even before a stimulus is presented37 contrary to Premise 3 (initiation).
Once the stimulus is presented, the schema is instantiated and interacts with the stimulus/event to form a meaningful event-specific memory38,82,83,139,140.
Evidence from animal studies on memory allocation also points to the idea that the neural conditions for memory formation are in place before stimulus presentation141. The neurons that are most highly activated prior to an event are allocated to form the engram for that event.
Similar results are reported in fMRI studies in humans showing that the greater the representational similarity between pre-encoding rest and encoding in the HPC and related structures, the better the memory for the encoded event142.
Studies related to Premise 10 (unidirectionality) also cast some doubt on Premise 4, that the HPC is the gateway for the formation and retention of all declarative memory. We know it is crucial for event-specific memory, but what about for semantic and schematic memory or for schematic and semantic components of memory for specific events? Evidence from studies in intact humans and rodents suggests that schemas, mediated by the mPFC, and gist, mediated by anterior HPC and CA1, can be represented early in processing without reliance on those regions of the HPC that code for detail and specificity37,90,91,130,143,144. In line with our ideas, evidence from recent behavioural studies145–149 shows that schemas are formed at acquisition concurrently with detailed contextual representations, but their influence on memory expression depends on a variety of factors, including task demands and the strength of the different representations over time150.
This eclectic view of memory reorganization does not deny the possibility that even if neocortical representations are formed concurrently with hippocampal ones, under some circumstances, the HPC may still be needed to stabilize those representations over time5,7,151,152 (but see 153) with sleep playing a crucial role154 (but see 32 for a different interpretation of the benefits of sleep) or that the HPC may be needed to reinstate them at retrieval7,155.
Several studies of language acquisition suggest that aspects of vocabulary that are consistent with prior linguistic knowledge can be rapidly cortically acquired with little hippocampal engagement156–158. Likewise, patients with hippocampal damage and poor episodic memory can acquire semantic knowledge through a procedure termed fast mapping, in which single or few presentations suffice for memory formation and retention47 (but see Smith et al.159). It is not yet known, however, whether and to what extent the HPC is needed to retain such memories over long intervals, as semantic memory acquired through fast mapping may be highly susceptible to interference84. A partial answer is provided from studies of patients with developmental (episodic) amnesia caused by neonatal MTL damage. Such patients have relatively preserved semantic and schematic knowledge, which is often sufficient for them to complete at least high school, suggesting that even long-term retention of schemas and semantics does not rely on the HPC160. Interestingly, individuals with developmental amnesia do not show a memory advantage for fast mapping at short delay but do show delayed gains, contrary to controls who show forgetting, helping them catch up despite their hippocampal damage161,162. If, however, the HPC is intact at acquisition, the context-specific hippocampal representation may form part of the ensuing neural/psychological representation of schemas and semantics, or it may serve as the link through which schemas and semantics related to the event are recovered. Subsequent damage to the HPC may lead to an impoverished representation of both. Even if the HPC remains intact, the memory for specific details may decline with time and experience, and the semantic/schematic components may become ascendant, leading to the recovery of those latter aspects of the memory independently of the HPC.
Insight into the underlying processes and mechanisms may be gained from recent developmental studies on the interaction between the ability to form rapid generalizations (e.g., schemas and semantics) and memory for specific events163. Whereas in adults, generalizations are tightly coupled with memory for specific instances, children generalize independently event-specific memory163. Different processes may be expressed in childhood and adulthood, determined, in part, by the neurodevelopmental trajectories of the structures that mediate these behaviours and their network dynamics164. The extent to which these processes could be expressed in adults but are masked by the more dominant HPC-mediated memory processes is unknown.
Is systems consolidation a viable concept?
These premises, or a subset of them, underlie not only SCT and theories derived from it but also a number of other theories and models of systems consolidation, including some of the most prominent ones in the field, such as complementary learning systems31,165 and some schema theories128,130,132,166. If, as we’ve argued, each of these premises is found wanting in light of the evidence, then the theories that embrace them should be modified or discarded. But if all the premises underlying many of our theories of systems consolidation are faulty, maybe the fault lies with the concept of systems consolidation itself. A number of theories and models have been proposed that do not rely on these premises, among them distributed reinstatement theory and memory manifold theory167, scene and event construction theory168, contextual binding theory33, and competitive trace theory34. Their proponents renounce the notion of systems consolidation either explicitly (Sutherland, Lehmann, and their colleagues167) or implicitly, as is the case for the others while retaining the notion of synaptic or cellular consolidation (see Moscovitch and Gilboa38 for an evaluation of each of these theories). Instead of focusing on the HPC relinquishing its role in memory to the neocortex in retention and retrieval of remote memories, as the defining event of systems consolidation, these theories concentrate on basic processes and mechanisms of memory formation, retention, retrieval, and loss at a neural and psychological level. They then use knowledge of these basic processes to account for changes in memory, and its neural basis, over time and experience. Among the processes underlying such changes are reminding and forgetting, decay and interference, reconstruction and distortion, assimilation and accommodation, which can be studied without being fettered by adherence to a poorly supported notion of systems consolidation that has little to say about most of them. Most importantly, such a framework allows us to examine the various ways that memories can change over time during wakefulness and sleep at a psychological and neural level. As a result, these non-consolidation theories, and the research they inspire, enable a better appreciation and understanding of the dynamic nature of memory, reflected in its changing representations at psychological and neural levels.
Memory systems reorganization: some principles
Our own view at the moment is to replace the term systems consolidation with the term systems reorganization and offer the following principles to guide research8,38.
1. From inception, declarative memories of an event capture the conscious experience of the event, which includes information about its perceptual aspects (details) and its meaning (schemas and semantics). These psychological representations have their corresponding distributed neural representations, termed engrams or memory traces that are bound ensembles of neurons that are active during the experience, and different brain regions code the different aspects of the event. For event-specific detailed and gist memory, the HPC binds all the activated neurons into a sparsely encoded hippocampal representation that serves as an index or pointer to cortical locations where these features and content of the memory are represented. For semantic and schematic representations, new generalized information from the event can be integrated into existing cortical knowledge structures, potentially adding new nodes and modifying existing network connections and relationships8,35,37. Time and experience may affect aspects of this memory representation differently.
2. The HPC retains its function in representing event-specific memories, from details to gist, and does not relinquish it to other structures over time. Whether the memory is recent or remote does not matter. Changes along the long axis of the HPC, from posterior to anterior, and among its subfields, from DG/CA3 to CA1, will reflect, respectively, the prominence of details and gist in memory at different times7,79. Event-specific HPC-dependent representations tend to dominate memory expression early on, although event-induced memory integration and modifications to semantic and schematic networks also occur at the outset8,35,37. As event-specific details and gist are lost, the generalized representations that are independent of the HPC and reliant more on the neocortex become more prominent8. Post-encoding rest136,169 and sleep seem to play crucial roles in these processes, either by protecting memories from interference32 or by promoting memory replay, which can serve to either maintain or strengthen episodic memories154, integrate them with one another170, or hasten the assimilation of new details into schemas154,171.
3. Memory reorganization is not a unidirectional, time-dependent process. Memories are always in flux, from acquisition onwards. From inception, there are potentially multiple interactive forms of event representations7,57, and the one which is preferentially expressed at any moment is determined not only by the passage of time but by various factors, from forgetting to task demands to motivation, at encoding and retrieval145,150,172,173. Studies on the development of memory from infancy to adulthood164,174–177 and its progression to old age provide insights into the dynamic, multidirectional processes and mechanisms that mediate memory representations.
4. Each of these psychological forms of representations is supported by distinct neurobiological substrates and processes, as posited by NPRC8, and their interactions during wakefulness and sleep drive memory dynamics for the memory’s lifetime7,57,79. Memory reorganization involves more than the relinquishing of hippocampal involvement to the neocortex over time, which may never occur for some memories (see principle 1 of the memory reorganization perspective). It is a dynamic process of hippocampal-neocortical interactions that determine the organization and expression of memory that begins even before acquisition and potentially continues for a lifetime.
Acknowledgements
We would like to thank Karen Joseph, Kunin-Lunenfeld Centre for Applied Research and Evaluation, Baycrest, and Monique Cheng, Rotman Research Institute at Baycrest, for their help in editing the manuscript and the reviewers, for their helpful comments and critique.
The peer reviewers who approve this article are:
Andrew Yonelinas, University of California at Davis, Davis, California, USA
Michael D Kopelman, King's College London, Institute of Psychiatry, Psychology, & Neuroscience, London, UK
Vishnu P. Murty, Department of Psychology and Neuroscience, Temple University, Philadelphia, Pennsylvania, USA
Funding Statement
Preparation of this article was supported by Natural Sciences and Engineering Research Council of Canada discovery grants 378291 (to AG) and A8347 (to MM) and by Canadian Institutes of Health Research grants MOP49566 (to MM) and PJT175159 (to AG).
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Contributor Information
Morris Moscovitch, Email: momos@psych.utoronto.ca.
Asaf Gilboa, Email: agilboa@research.baycrest.org.
References
- 1. Tonegawa S, Liu X, Ramirez S, et al. : Memory Engram Cells Have Come of Age. Neuron. 2015; 87(5): 918–31. 10.1016/j.neuron.2015.08.002 [DOI] [PubMed] [Google Scholar]
- 2. Josselyn SA, Köhler S, Frankland PW: Finding the engram. Nat Rev Neurosci. 2015; 16(9): 521–34. 10.1038/nrn4000 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 3. Dudai Y: The restless engram: Consolidations never end. Annu Rev Neurosci. 2012; 35: 227–47. 10.1146/annurev-neuro-062111-150500 [DOI] [PubMed] [Google Scholar]
- 4. Brodt S, Gais S: Memory Engrams in the Neocortex. Neuroscientist. 2021; 27(4): 427–44. 10.1177/1073858420941528 [DOI] [PubMed] [Google Scholar]
- 5. Josselyn SA, Tonegawa S: Memory engrams: Recalling the past and imagining the future. Science. 2020; 367(6473): eaaw4325. 10.1126/science.aaw4325 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 6. Burnham WH: Retroactive Amnesia: Illustrative Cases and a Tentative Explanation. Am J Psychol. 1903; 14(3/4): 118–132. 10.2307/1412310 [DOI] [Google Scholar]
- 7. Sekeres MJ, Winocur G, Moscovitch M: The hippocampus and related neocortical structures in memory transformation. Neurosci Lett. 2018; 680: 39–53. 10.1016/j.neulet.2018.05.006 [DOI] [PubMed] [Google Scholar]
- 8. Gilboa A, Moscovitch M: No consolidation without representation: Correspondence between neural and psychological representations in recent and remote memory. Neuron. 2021; 109(14): 2239–55. 10.1016/j.neuron.2021.04.025 [DOI] [PubMed] [Google Scholar]
- 9. Müller GE, Pilzecker A: Experimentelle beitrage zur lehre vom gedachtnis. Zeitschrift Fur Psychologie Und Physiologie Der Sinnesorganne. 1900; S1: 1–288. Reference Source [Google Scholar]
- 10. Lechner HA, Squire LR, Byrne JH: 100 Years of Consolidation--Remembering Müller and Pilzecker. Learn Mem. 1999; 6(2): 77–87. 10.1101/LM.6.2.77 [DOI] [PubMed] [Google Scholar]
- 11. Milner B, Penfield W: The effect of hippocampal lesions on recent memory. Trans Am Neurol Assoc. 1955: 42–8. [PubMed] [Google Scholar]
- 12. Scoville WB, Milner B: Loss of recent memory after bilateral hippocampal lesions. J Neurol Neurosurg Psychiatry. 1957; 20(1): 11–21. 10.1136/jnnp.20.1.11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. McGaugh JL: Time-dependent processes in memory storage. Science. 1966; 153(3742): 1351–8. 10.1126/science.153.3742.1351 [DOI] [PubMed] [Google Scholar]
- 14. Milner B: Memory and the medial temporal regions of the brain. Biology of memory. 1970; 23: 31–59. [Google Scholar]
- 15. Squire LR, Cohen NJ, Nadel L: The medial temporal region and memory consolidation: A new hypothesis. In: H. Weingartner & E. Parker (Eds.), Memory Consolidation. Lawrence Erlbaum Associates, 1984; 185–210. Reference Source [Google Scholar]
- 16. Moscovitch M: Memory before and after HM: An Impressionistic Historical Perspective. In: A. Zeman Jones-Gotman, M., Kapur, N. (Ed.), Epilepsy and Memory. Oxford University Press, 2012. 10.1093/acprof:oso/9780199580286.003.0002 [DOI] [Google Scholar]
- 17. Shema R, Sacktor TC, Dudai Y: Rapid erasure of long-term memory associations in the cortex by an inhibitor of PKM zeta. Science. 2007; 317(5840): 951–3. 10.1126/science.1144334 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 18. Lee JLC, Nader K, Schiller D: An Update on Memory Reconsolidation Updating. Trends Cogn Sci. 2017; 21(7): 531–45. 10.1016/j.tics.2017.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 19. Dudai Y: The neurobiology of consolidations, or, how stable is the engram? Annu Rev Psychol. 2004; 55: 51–86. 10.1146/annurev.psych.55.090902.142050 [DOI] [PubMed] [Google Scholar]
- 20. Squire LR, Alvarez P: Retrograde amnesia and memory consolidation: A neurobiological perspective. Curr Opin Neurobiol. 1995; 5(2): 169–77. 10.1016/0959-4388(95)80023-9 [DOI] [PubMed] [Google Scholar]
- 21. McGaugh JL: Memory--a century of consolidation. Science. 2000; 287(5451): 248–51. 10.1126/science.287.5451.248 [DOI] [PubMed] [Google Scholar]
- 22. Rudy JW, Morledge P: Ontogeny of contextual fear conditioning in rats: Implications for consolidation, infantile amnesia, and hippocampal system function. Behav Neurosci. 1994; 108(2): 227–34. 10.1037//0735-7044.108.2.227 [DOI] [PubMed] [Google Scholar]
- 23. Moscovitch M: Recovered consciousness: A hypothesis concerning modularity and episodic memory. J Clin Exp Neuropsychol. 1995; 17(2): 276–90. 10.1080/01688639508405123 [DOI] [PubMed] [Google Scholar]
- 24. Teyler TJ, Rudy JW: The hippocampal indexing theory and episodic memory: Updating the index. Hippocampus. 2007; 17(12): 1158–69. 10.1002/hipo.20350 [DOI] [PubMed] [Google Scholar]
- 25. Teyler TJ, DiScenna P: The hippocampal memory indexing theory. Behav Neurosci. 1986; 100(2): 147–54. 10.1037//0735-7044.100.2.147 [DOI] [PubMed] [Google Scholar]
- 26. Moscovitch M: Memory and Working-with-Memory: A Component Process Model Based on Modules and Central Systems. J Cogn Neurosci. 1992; 4(3): 257–67. 10.1162/jocn.1992.4.3.257 [DOI] [PubMed] [Google Scholar]
- 27. Frankland PW, Bontempi B: The organization of recent and remote memories. Nat Rev Neurosci. 2005; 6(2): 119–30. 10.1038/nrn1607 [DOI] [PubMed] [Google Scholar]
- 28. Sutherland RJ, Lehmann H: Alternative conceptions of memory consolidation and the role of the hippocampus at the systems level in rodents. Curr Opin Neurobiol. 2011; 21(3): 446–51. 10.1016/j.conb.2011.04.007 [DOI] [PubMed] [Google Scholar]
- 29. Nadel L, Moscovitch M: Memory consolidation, retrograde amnesia and the hippocampal complex. Curr Opin Neurobiol. 1997; 7(2): 217–27. 10.1016/s0959-4388(97)80010-4 [DOI] [PubMed] [Google Scholar]
- 30. Winocur G, Moscovitch M, Bontempi B: Memory formation and long-term retention in humans and animals: Convergence towards a transformation account of hippocampal-neocortical interactions. Neuropsychologia. 2010; 48(8): 2339–56. 10.1016/j.neuropsychologia.2010.04.016 [DOI] [PubMed] [Google Scholar]
- 31. McClelland JL, McNaughton BL, O'Reilly RC: Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychol Rev. 1995; 102(3): 419–57. 10.1037/0033-295X.102.3.419 [DOI] [PubMed] [Google Scholar]
- 32. Kumaran D, Hassabis D, McClelland JL: What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated. Trends Cogn Sci. 2016; 20(7): 512–34. 10.1016/j.tics.2016.05.004 [DOI] [PubMed] [Google Scholar]
- 33. Yonelinas AP, Ranganath C, Ekstrom AD, et al. : A contextual binding theory of episodic memory: Systems consolidation reconsidered. Nat Rev Neurosci. 2019; 20(6): 364–75. 10.1038/s41583-019-0150-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Yassa MA, Reagh ZM: Competitive Trace Theory: A Role for the Hippocampus in Contextual Interference during Retrieval. Front Behav Neurosci. 2013; 7: 107. 10.3389/fnbeh.2013.00107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Gilboa A, Marlatte H: Neurobiology of Schemas and Schema-Mediated Memory. Trends Cogn Sci. 2017; 21(8): 618–31. 10.1016/j.tics.2017.04.013 [DOI] [PubMed] [Google Scholar]
- 36. Gisquet-Verrier P, Riccio DC: Revisiting systems consolidation and the concept of consolidation. Neurosci Biobehav Rev. 2022; 132: 420–32. 10.1016/j.neubiorev.2021.12.003 [DOI] [PubMed] [Google Scholar]
- 37. Hebscher M, Wing E, Ryan J, et al. : Rapid Cortical Plasticity Supports Long-Term Memory Formation. Trends Cogn Sci. 2019; 23(12): 989–1002. 10.1016/j.tics.2019.09.009 [DOI] [PubMed] [Google Scholar]
- 38. Moscovitch M, Gilboa A: Systems consolidation, transformation and reorganization: Multiple Trace Theory, Trace Transformation Theory and their competitors. In: Kahana, M. & Wagner, A.D. (Eds.), Handbook of Human Memory: Foundations and Applications. Oxford University Press, (in press). 10.31234/osf.io/yxbrs [DOI] [Google Scholar]
- 39. Sutherland RJ, Sparks FT, Lehmann H: Hippocampus and retrograde amnesia in the rat model: a modest proposal for the situation of systems consolidation. Neuropsychologia. 2010; 48(8): 2357–69. 10.1016/j.neuropsychologia.2010.04.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Fernández G, Morris RGM: Memory, Novelty and Prior Knowledge. Trends Neurosci. 2018; 41(10): 654–9. 10.1016/j.tins.2018.08.006 [DOI] [PubMed] [Google Scholar]
- 41. Squire LR, Genzel L, Wixted JT, et al. : Memory consolidation. Cold Spring Harb Perspect Biol. 2015; 7(8): a021766. 10.1101/cshperspect.a021766 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Sanders HI, Warrington EK: Memory for remote events in amnesic patients. Brain. 1971; 94(4): 661–8. 10.1093/brain/94.4.661 [DOI] [PubMed] [Google Scholar]
- 43. Zola-Morgan S, Squire LR, Amaral DG: Human amnesia and the medial temporal region: enduring memory impairment following a bilateral lesion limited to field CA1 of the hippocampus. J Neurosci. 1986; 6(10): 2950–67. 10.1523/JNEUROSCI.06-10-02950.1986 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Kapur N, Ellison D, Smith MP, et al. : Focal retrograde amnesia following bilateral temporal lobe pathology. A neuropsychological and magnetic resonance study. Brain. 1992; 115 Pt 1: 73–85. 10.1093/brain/115.1.73 [DOI] [PubMed] [Google Scholar]
- 45. Corkin S: Lasting Consequences of Bilateral Medial Temporal Lobectomy: Clinical Course and Experimental Findings in H.M. Semin Neurol. 1984; 4(2): 249–59. 10.1055/s-2008-1041556 [DOI] [Google Scholar]
- 46. Kinsbourne M, Wood F: Short-term memory processes and the amnesic syndrome. In: D. Deutsch Deutsch, A. (Ed.), Short-term Memory. Academic Press, 1975; 258–291. [Google Scholar]
- 47. Sharon T, Moscovitch M, Gilboa A: Rapid neocortical acquisition of long-term arbitrary associations independent of the hippocampus. Proc Natl Acad Sci U S A. 2011; 108(3): 1146–51. 10.1073/pnas.1005238108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Moscovitch M, Rosenbaum RS, Gilboa A, et al. : Functional neuroanatomy of remote episodic, semantic and spatial memory: A unified account based on multiple trace theory. J Anat. 2005; 207(1): 35–66. 10.1111/j.1469-7580.2005.00421.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Sheldon S, Levine B: The role of the hippocampus in memory and mental construction. Ann N Y Acad Sci. 2016; 1369(1): 76–92. 10.1111/nyas.13006 [DOI] [PubMed] [Google Scholar]
- 50. Bartsch T, Döhring J, Rohr A, et al. : CA1 neurons in the human hippocampus are critical for autobiographical memory, mental time travel, and autonoetic consciousness. Proc Natl Acad Sci U S A. 2011; 108(42): 17562–7. 10.1073/pnas.1110266108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Miller TD, Chong TTJ, Aimola Davies AM, et al. : Human hippocampal CA3 damage disrupts both recent and remote episodic memories. eLife. 2020; 9: e41836. 10.7554/eLife.41836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Gilboa A, Winocur G, Rosenbaum RS, et al. : Hippocampal contributions to recollection in retrograde and anterograde amnesia. Hippocampus. 2006; 16(11): 966–80. 10.1002/hipo.20226 [DOI] [PubMed] [Google Scholar]
- 53. Cipolotti L, Shallice T, Chan D, et al. : Long-term retrograde amnesia...the crucial role of the hippocampus. Neuropsychologia. 2001; 39(2): 151–72. 10.1016/s0028-3932(00)00103-2 [DOI] [PubMed] [Google Scholar]
- 54. Vann SD, Aggleton JP: The mammillary bodies: Two memory systems in one? Nat Rev Neurosci. 2004; 5(1): 35–44. 10.1038/nrn1299 [DOI] [PubMed] [Google Scholar]
- 55. Chan D, Henley SMD, Rossor MN, et al. : Extensive and temporally ungraded retrograde amnesia in encephalitis associated with antibodies to voltage-gated potassium channels. Arch Neurol. 2007; 64(3): 404–10. 10.1001/archneur.64.3.404 [DOI] [PubMed] [Google Scholar]
- 56. Kopelman MD, Stanhope N, Kingsley D: Retrograde amnesia in patients with diencephalic, temporal lobe or frontal lesions. Neuropsychologia. 1999; 37(8): 939–58. 10.1016/s0028-3932(98)00143-2 [DOI] [PubMed] [Google Scholar]
- 57. Winocur G, Moscovitch M: Memory transformation and systems consolidation. J Int Neuropsychol Soc. 2011; 17(5): 766–80. 10.1017/S1355617711000683 [DOI] [PubMed] [Google Scholar]
- 58. Bayley PJ, Hopkins RO, Squire LR: The fate of old memories after medial temporal lobe damage. J Neurosci. 2006; 26(51): 13311–7. 10.1523/JNEUROSCI.4262-06.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Kirwan CB, Bayley PJ, Galván VV, et al. : Detailed recollection of remote autobiographical memory after damage to the medial temporal lobe. Proc Natl Acad Sci U S A. 2008; 105(7): 2676–80. 10.1073/pnas.0712155105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Anagnostaras SG, Maren S, Fanselow MS: Temporally Graded Retrograde Amnesia of Contextual Fear after Hippocampal Damage in Rats: Within-Subjects Examination. J Neurosci. 1999; 19(3): 1106–14. 10.1523/JNEUROSCI.19-03-01106.1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Winocur G, McDonald RM, Moscovitch M: Anterograde and retrograde amnesia in rats with large hippocampal lesions. Hippocampus. 2001; 11(1): 18–26. [DOI] [PubMed] [Google Scholar]
- 62. Mumby DG, Astur RS, Weisend MP, et al. : Retrograde amnesia and selective damage to the hippocampal formation: Memory for places and object discriminations. Behav Brain Res. 1999; 106(1–2): 97–107. 10.1016/s0166-4328(99)00097-2 [DOI] [PubMed] [Google Scholar]
- 63. Jasnow AM, Lynch JF 3rd, Gilman TL, et al. : Perspectives on fear generalization and its implications for emotional disorders. J Neurosci Res. 2017; 95(3): 821–35. 10.1002/jnr.23837 [DOI] [PubMed] [Google Scholar]
- 64. Ryan L, Nadel L, Keil K, et al. : Hippocampal complex and retrieval of recent and very remote autobiographical memories: Evidence from functional magnetic resonance imaging in neurologically intact people. Hippocampus. 2001; 11(6): 707–14. 10.1002/hipo.1086 [DOI] [PubMed] [Google Scholar]
- 65. Addis DR, Moscovitch M, Crawley AP, et al. : Recollective qualities modulate hippocampal activation during autobiographical memory retrieval. Hippocampus. 2004; 14(6): 752–62. 10.1002/hipo.10215 [DOI] [PubMed] [Google Scholar]
- 66. Burianova H, Grady CL: Common and unique neural activations in autobiographical, episodic, and semantic retrieval. J Cogn Neurosci. 2007; 19(9): 1520–34. 10.1162/jocn.2007.19.9.1520 [DOI] [PubMed] [Google Scholar]
- 67. Bonnici HM, Chadwick MJ, Maguire EA: Representations of recent and remote autobiographical memories in hippocampal subfields. Hippocampus. 2013; 23(10): 849–54. 10.1002/hipo.22155 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Gilboa A, Winocur G, Grady CL, et al. : Remembering our past: Functional neuroanatomy of recollection of recent and very remote personal events. Cereb Cortex. 2004; 14(11): 1214–25. 10.1093/cercor/bhh082 [DOI] [PubMed] [Google Scholar]
- 69. Wiltgen BJ, Silva AJ: Memory for context becomes less specific with time. Learn Mem. 2007; 14(4): 313–7. 10.1101/lm.430907 [DOI] [PubMed] [Google Scholar]
- 70. Wiltgen BJ, Zhou M, Cai Y, et al. : The hippocampus plays a selective role in the retrieval of detailed contextual memories. Curr Biol. 2010; 20(15): 1336–44. 10.1016/j.cub.2010.06.068 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 71. Sekeres MJ, Winocur G, Moscovitch M, et al. : Changes in patterns of neural activity underlie a time-dependent transformation of memory in rats and humans. Hippocampus. 2018; 28(10): 745–64. 10.1002/hipo.23009 [DOI] [PubMed] [Google Scholar]
- 72. Klooster NB, Duff MC: Remote semantic memory is impoverished in hippocampal amnesia. Neuropsychologia. 2015; 79(Pt A): 42–52. 10.1016/j.neuropsychologia.2015.10.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Dawood M, Cole A, Hilverman C, et al. : Hippocampal contributions to remote semantic memory: evidence of impaired naming in amnesia. Poster Presentation at the American Speech Language Hearing Association (Boston, MA USA), 2018. [Google Scholar]
- 74. Waidergoren S, Segalowicz J, Gilboa A: Semantic memory recognition is supported by intrinsic recollection-like processes: "The butcher on the bus" revisited. Neuropsychologia. 2012; 50(14): 3573–87. 10.1016/j.neuropsychologia.2012.09.040 [DOI] [PubMed] [Google Scholar]
- 75. Rosenbaum RS, Gilboa A, Levine B, et al. : Amnesia as an impairment of detail generation and binding: Evidence from personal, fictional, and semantic narratives in K.C. Neuropsychologia. 2009; 47(11): 2181–7. 10.1016/j.neuropsychologia.2008.11.028 [DOI] [PubMed] [Google Scholar]
- 76. Grilli MD, Verfaellie M: Personal semantic memory: Insights from neuropsychological research on amnesia. Neuropsychologia. 2014; 61: 56–64. 10.1016/j.neuropsychologia.2014.06.012 [DOI] [PubMed] [Google Scholar]
- 77. Reyna VF, Brainerd CJ: Fuzzy-trace theory: An interim synthesis. Learn Individ Differ. 1995; 7(1): 1–75. 10.1016/1041-6080(95)90031-4 [DOI] [Google Scholar]
- 78. Ritchey M, Cooper RA: Deconstructing the Posterior Medial Episodic Network. Trends Cogn Sci. 2020; 24(6): 451–65. 10.1016/j.tics.2020.03.006 [DOI] [PubMed] [Google Scholar]
- 79. Robin J, Moscovitch M: Details, gist and schema: Hippocampal–neocortical interactions underlying recent and remote episodic and spatial memory. Curr Opin Behav Sci. 2017; 17: 114–23. 10.1016/j.cobeha.2017.07.016 [DOI] [Google Scholar]
- 80. Ghosh VE, Gilboa A: What is a memory schema? A historical perspective on current neuroscience literature. Neuropsychologia. 2014; 53: 104–14. 10.1016/j.neuropsychologia.2013.11.010 [DOI] [PubMed] [Google Scholar]
- 81. Rubin DC, Umanath S: Event memory: A theory of memory for laboratory, autobiographical, and fictional events. Psychol Rev. 2015; 122(1): 1–23. 10.1037/a0037907 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Giuliano AE, Bonasia K, Ghosh VE, et al. : Differential Influence of Ventromedial Prefrontal Cortex Lesions on Neural Representations of Schema and Semantic Category Knowledge. J Cogn Neurosci. 2021; 33(9): 1928–55. 10.1162/jocn_a_01746 [DOI] [PubMed] [Google Scholar]
- 83. Gilboa A, Moscovitch M: Ventromedial prefrontal cortex generates pre-stimulus theta coherence desynchronization: A schema instantiation hypothesis. Cortex. 2017; 87: 16–30. 10.1016/j.cortex.2016.10.008 [DOI] [PubMed] [Google Scholar]
- 84. Merhav M, Karni A, Gilboa A: Not all declarative memories are created equal: Fast Mapping as a direct route to cortical declarative representations. NeuroImage. 2015; 117: 80–92. 10.1016/j.neuroimage.2015.05.027 [DOI] [PubMed] [Google Scholar]
- 85. Gozzi M, Raymont V, Solomon J, et al. : Dissociable effects of prefrontal and anterior temporal cortical lesions on stereotypical gender attitudes. Neuropsychologia. 2009; 47(10): 2125–32. 10.1016/j.neuropsychologia.2009.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Martin A: GRAPES-Grounding representations in action, perception, and emotion systems: How object properties and categories are represented in the human brain. Psychon Bull Rev. 2016; 23(4): 979–90. 10.3758/s13423-015-0842-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Ralph MAL, Jefferies E, Patterson K, et al. : The neural and computational bases of semantic cognition. Nat Rev Neurosci. 2017; 18(1): 42–55. 10.1038/nrn.2016.150 [DOI] [PubMed] [Google Scholar]
- 88. Grady CL: Meta-analytic and functional connectivity evidence from functional magnetic resonance imaging for an anterior to posterior gradient of function along the hippocampal axis. Hippocampus. 2020; 30(5): 456–71. 10.1002/hipo.23164 [DOI] [PubMed] [Google Scholar]
- 89. Schapiro AC, Turk-Browne NB, Botvinick MM, et al. : Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning. Philos Trans R Soc Lond B Biol Sci. 2017; 372(1711): 20160049. 10.1098/rstb.2016.0049 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Lux V, Atucha E, Kitsukawa T, et al. : Imaging a memory trace over half a life-time in the medial temporal lobe reveals a time-limited role of CA3 neurons in retrieval. eLife. 2016; 5: e11862. 10.7554/eLife.11862 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Atucha E, Ku SP, Lippert M, et al. : Remembering the gist of an event over a lifetime depends on the hippocampus. bioRxiv. 2021. 10.1101/2021.04.14.439803 [DOI] [Google Scholar]
- 92. Kopelman MD: What does a comparison of the alcoholic Korsakoff syndrome and thalamic infarction tell us about thalamic amnesia? Neurosci Biobehav Rev. 2015; 54: 46–56. 10.1016/j.neubiorev.2014.08.014 [DOI] [PubMed] [Google Scholar]
- 93. Xu W, Südhof TC: A neural circuit for memory specificity and generalization. Science. 2013; 339(6125): 1290–5. 10.1126/science.1229534 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 94. Ezzyat Y, Inhoff MC, Davachi L: Differentiation of Human Medial Prefrontal Cortex Activity Underlies Long-Term Resistance to Forgetting in Memory. J Neurosci. 2018; 38(48): 10244–54. 10.1523/JNEUROSCI.2290-17.2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Thielen JW, Takashima A, Rutters F, et al. : Transient relay function of midline thalamic nuclei during long-term memory consolidation in humans. Learn Mem. 2015; 22(10): 527–31. 10.1101/lm.038372.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Vetere G, Xia F, Ramsaran AI, et al. : An inhibitory hippocampal-thalamic pathway modulates remote memory retrieval. Nat Neurosci. 2021; 24(5): 685–93. 10.1038/s41593-021-00819-3 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 97. Sterpenich V, Albouy G, Darsaud A, et al. : Sleep promotes the neural reorganization of remote emotional memory. J Neurosci. 2009; 29(16): 5143–52. 10.1523/JNEUROSCI.0561-09.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 98. Sheldon S, Levine B: Same as it ever was: Vividness modulates the similarities and differences between the neural networks that support retrieving remote and recent autobiographical memories. NeuroImage. 2013; 83: 880–91. 10.1016/j.neuroimage.2013.06.082 [DOI] [PubMed] [Google Scholar]
- 99. Moscovitch M, Cabeza R, Winocur G, et al. : Episodic Memory and Beyond: The Hippocampus and Neocortex in Transformation. Annu Rev Psychol. 2016; 67: 105–34. 10.1146/annurev-psych-113011-143733 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Duff MC, Brown-Schmidt S: The hippocampus and the flexible use and processing of language. Front Hum Neurosci. 2012; 6: 69. 10.3389/fnhum.2012.00069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Verfaellie M, Bousquet K, Keane MM: Medial temporal and neocortical contributions to remote memory for semantic narratives: Evidence from amnesia. Neuropsychologia. 2014; 61: 105–12. 10.1016/j.neuropsychologia.2014.06.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Renoult L, Irish M, Moscovitch M, et al. : From Knowing to Remembering: The Semantic-Episodic Distinction. Trends Cogn Sci. 2019; 23(12): 1041–57. 10.1016/j.tics.2019.09.008 [DOI] [PubMed] [Google Scholar]
- 103. Binder JR, Desai RH: The neurobiology of semantic memory. Trends Cogn Sci. 2011; 15(11): 527–36. 10.1016/j.tics.2011.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Binder JR, Desai RH, Graves WW, et al. : Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex. 2009; 19(12): 2767–96. 10.1093/cercor/bhp055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Duff MC, Covington NV, Hilverman C, et al. : Semantic Memory and the Hippocampus: Revisiting, Reaffirming, and Extending the Reach of Their Critical Relationship. Front Hum Neurosci. 2020; 13: 471. 10.3389/fnhum.2019.00471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Greenberg DL, Verfaellie M: Interdependence of episodic and semantic memory: Evidence from neuropsychology. J Int Neuropsychol Soc. 2010; 16(5): 748–53. 10.1017/S1355617710000676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Skotko BG, Kensinger EA, Locascio JJ, et al. : Puzzling thoughts for H. M.: Can new semantic information be anchored to old semantic memories? Neuropsychology. 2004; 18(4): 756–69. 10.1037/0894-4105.18.4.756 [DOI] [PubMed] [Google Scholar]
- 108. Squire LR, Frascino JC, Rivera CS, et al. : One-trial perceptual learning in the absence of conscious remembering and independent of the medial temporal lobe. Proc Natl Acad Sci U S A. 2021; 118(19): e2104072118. 10.1073/pnas.2104072118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Lynch K, Keane MM, Verfaellie M: The status of semantic memory in medial temporal lobe amnesia varies with demands on scene construction. Cortex. 2020; 131: 114–22. 10.1016/j.cortex.2020.07.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Wing EA, Burles F, Ryan JD, et al. : The structure of prior knowledge enhances memory in experts by reducing interference. Proc Natl Acad Sci U S A. 2022; 119(26): e2204172119. 10.1073/pnas.2204172119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Wang S-H, Tse D, Morris RGM: Anterior cingulate cortex in schema assimilation and expression. Learn Mem. 2012; 19(8): 315–8. 10.1101/lm.026336.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Blumenthal A, Duke D, Bowles B, et al. : Abnormal semantic knowledge in a case of developmental amnesia. Neuropsychologia. 2017; 102: 237–47. 10.1016/j.neuropsychologia.2017.06.018 [DOI] [PubMed] [Google Scholar]
- 113. Frankland PW, Ding HK, Takahashi E, et al. : Stability of recent and remote contextual fear memory. Learn Mem. 2006; 13(4): 451–7. 10.1101/lm.183406 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Lehmann H, Sparks FT, Spanswick SC, et al. : Making context memories independent of the hippocampus. Learn Mem. 2009; 16(7): 417–20. 10.1101/lm.1385409 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 115. Bartsch T, Butler C: Transient amnesic syndromes. Nat Rev Neurol. 2013; 9(2): 86–97. 10.1038/nrneurol.2012.264 [DOI] [PubMed] [Google Scholar]
- 116. Hebscher M, Ibrahim C, Gilboa A: Precuneus stimulation alters the neural dynamics of autobiographical memory retrieval. NeuroImage. 2020; 210: 116575. 10.1016/j.neuroimage.2020.116575 [DOI] [PubMed] [Google Scholar]
- 117. Chadwick MJ, Bonnici HM, Maguire EA: CA3 size predicts the precision of memory recall. Proc Natl Acad Sci U S A. 2014; 111(29): 10720–5. 10.1073/pnas.1319641111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Kan IP, Larocque KF, Lafleche G, et al. : Memory monitoring failure in confabulation: Evidence from the semantic illusion paradigm. J Int Neuropsychol Soc. 2010; 16(6): 1006–17. 10.1017/S1355617710000536 [DOI] [PubMed] [Google Scholar]
- 119. O'Connor MG, Lafleche GMC: Retrograde amnesia in patients with rupture and surgical repair of anterior communicating artery aneurysms. J Inter Neuropsych Soc. 2004; 10(2): 221–9. 10.1017/S1355617704102087 [DOI] [PubMed] [Google Scholar]
- 120. Hebscher M, Barkan-Abramski M, Goldsmith M, et al. : Memory, Decision-Making, and the Ventromedial Prefrontal Cortex (vmPFC): The Roles of Subcallosal and Posterior Orbitofrontal Cortices in Monitoring and Control Processes. Cereb Cortex. 2016; 26(12): 4590–601. 10.1093/cercor/bhv220 [DOI] [PubMed] [Google Scholar]
- 121. Thaiss L, Petrides M: Autobiographical memory of the recent past following frontal cortex or temporal lobe excisions. Eur J Neurosci. 2008; 28(4): 829–40. 10.1111/j.1460-9568.2008.06381.x [DOI] [PubMed] [Google Scholar]
- 122. Kurczek J, Wechsler E, Ahuja S, et al. : Differential contributions of hippocampus and medial prefrontal cortex to self-projection and self-referential processing. Neuropsychologia. 2015; 73: 116–26. 10.1016/j.neuropsychologia.2015.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Nader K, Hardt O: A single standard for memory: The case for reconsolidation. Nat Rev Neurosci. 2009; 10(3): 224–34. 10.1038/nrn2590 [DOI] [PubMed] [Google Scholar]
- 124. Nadel L, Sederberg PB: Memory Reconsolidation: Making Predictions Better. In: M. Kahana & A. Wagner (Eds.), Handbook of Human Memory. (in press). [Google Scholar]
- 125. Winocur G, Frankland PW, Sekeres M, et al. : Changes in context-specificity during memory reconsolidation: Selective effects of hippocampal lesions. Learn Mem. 2009; 16(11): 722–9. 10.1101/lm.1447209 [DOI] [PubMed] [Google Scholar]
- 126. Finnie PSB, Gamache K, Protopoulos M, et al. : Cortico-hippocampal Schemas Enable NMDAR-Independent Fear Conditioning in Rats. Curr Biol. 2018; 28(18): 2900–2909.e5. 10.1016/j.cub.2018.07.037 [DOI] [PubMed] [Google Scholar]
- 127. Tse D, Takeuchi T, Kakeyama M, et al. : Schema-dependent gene activation and memory encoding in neocortex. Science. 2011; 333(6044): 891–5. 10.1126/science.1205274 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 128. Tse D, Langston RF, Kakeyama M, et al. : Schemas and memory consolidation. Science. 2007; 316(5821): 76–82. 10.1126/science.1135935 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 129. Sommer T: The Emergence of Knowledge and How it Supports the Memory for Novel Related Information. Cereb Cortex. 2017; 27(3): 1906–21. 10.1093/cercor/bhw031 [DOI] [PubMed] [Google Scholar]
- 130. van Kesteren MTR, Ruiter DJ, Fernández G, et al. : How schema and novelty augment memory formation. Trends Neurosci. 2012; 35(4): 211–9. 10.1016/j.tins.2012.02.001 [DOI] [PubMed] [Google Scholar]
- 131. van Kesteren MTR, Fernández G, Norris DG, et al. : Persistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans. Proc Natl Acad Sci U S A. 2010; 107(16): 7550–5. 10.1073/pnas.0914892107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Preston AR, Eichenbaum H: Interplay of hippocampus and prefrontal cortex in memory. Curr Biol. 2013; 23(17): R764–73. 10.1016/j.cub.2013.05.041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Schlichting ML, Mumford JA, Preston AR: Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex. Nat Commun. 2015; 6: 8151. 10.1038/ncomms9151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Varga NL, Morton NW, Preston AR: Schema, inference and memory. In Kahana, M. & Wagner, A.D. (Eds.), Handbook of Human Memory: Foundations and Applications. Oxford University Press. (in press). 10.31234/osf.io/m9adb [DOI] [Google Scholar]
- 135. Bonasia K, Sekeres MJ, Gilboa A, et al. : Prior knowledge modulates the neural substrates of encoding and retrieving naturalistic events at short and long delays. Neurobiol Learn Mem. 2018; 153(Pt A): 26–39. 10.1016/j.nlm.2018.02.017 [DOI] [PubMed] [Google Scholar]
- 136. Liu Z-X, Grady C, Moscovitch M: Effects of Prior-Knowledge on Brain Activation and Connectivity During Associative Memory Encoding. Cereb Cortex. 2017; 27(3): 1991–2009. 10.1093/cercor/bhw047 [DOI] [PubMed] [Google Scholar]
- 137. Bein O, Reggev N, Maril A: Prior knowledge influences on HPC and medial prefrontal cortex interactions in subsequent memory. Neuropsychologia. 2014; 64: 320–30. 10.1016/j.neuropsychologia.2014.09.046 [DOI] [PubMed] [Google Scholar]
- 138. van Kesteren MTR, Rijpkema M, Ruiter DJ, et al. : Retrieval of associative information congruent with prior knowledge is related to increased medial prefrontal activity and connectivity. J Neurosci. 2010; 30(47): 15888–94. 10.1523/JNEUROSCI.2674-10.2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. McCormick C, Barry DN, Jafarian A, et al. : vmPFC Drives Hippocampal Processing during Autobiographical Memory Recall Regardless of Remoteness. Cereb Cortex. 2020; 30(11): 5972–87. 10.1093/cercor/bhaa172 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Garrido MI, Barnes GR, Kumaran D, et al. : Ventromedial prefrontal cortex drives hippocampal theta oscillations induced by mismatch computations. NeuroImage. 2015; 120: 362–70. 10.1016/j.neuroimage.2015.07.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Josselyn SA, Frankland PW: Memory Allocation: Mechanisms and Function. Annu Rev Neurosci. 2018; 41: 389–413. 10.1146/annurev-neuro-080317-061956 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 142. Sadeh T, Chen J, Goshen-Gottstein Y, et al. : Overlap between hippocampal pre-encoding and encoding patterns supports episodic memory. Hippocampus. 2019; 29(9): 836–47. 10.1002/hipo.23079 [DOI] [PubMed] [Google Scholar]
- 143. Ocampo AC, Squire LR, Clark RE: The beneficial effect of prior experience on the acquisition of spatial memory in rats with CA1, but not large hippocampal lesions: A possible role for schema formation. Learn Mem. 2018; 25(3): 115–121. 10.1101/lm.046482.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. Cullen PK, Gilman TL, Winiecki P, et al. : Activity of the anterior cingulate cortex and ventral HPC underlie increases in contextual fear generalization. Neurobiol Learn Mem. 2015; 124: 19–27. 10.1016/j.nlm.2015.07.001 [DOI] [PubMed] [Google Scholar]
- 145. Tompary A, Zhou W, Davachi L: Schematic memories develop quickly, but are not expressed unless necessary. Sci Rep. 2020; 10(1): 16968. 10.1038/s41598-020-73952-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Tompary A, Thompson-Schill SL: Semantic influences on episodic memory distortions. J Exp Psychol Gen. 2021; 150(9): 1800–24. 10.1037/xge0001017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Zeng T, Tompary A, Schapiro AC, et al. : Tracking the relation between gist and item memory over the course of long-term memory consolidation. eLife. 2021; 10: e65588. 10.7554/eLife.65588 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Antony JW, Stiver CA, Graves KN, et al. : Spatial gist extraction during human memory consolidation. J Exp Psychol Learn Mem Cogn. 2022; 48(7): 929–941. 10.1037/xlm0000894 [DOI] [PubMed] [Google Scholar]
- 149. Graves KN, Antony JW, Turk-Browne NB: Finding the Pattern: On-Line Extraction of Spatial Structure During Virtual Navigation. Psychol Sci. 2020; 31(9): 1183–90. 10.1177/0956797620948828 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Andermane N, Joensen BH, Horner AJ: Forgetting across a hierarchy of episodic representations. Curr Opin Neurobiol. 2021; 67: 50–57. 10.1016/j.conb.2020.08.004 [DOI] [PubMed] [Google Scholar]
- 151. Kitamura T, Ogawa SK, Roy DS, et al. : Engrams and circuits crucial for systems consolidation of a memory. Science. 2017; 356(6333): 73–8. 10.1126/science.aam6808 [DOI] [PMC free article] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 152. Ramos JMJ: Rapid decay of spatial memory acquired in rats with ventral HPC lesions. Behav Brain Res. 2022; 431: 113962. 10.1016/j.bbr.2022.113962 [DOI] [PubMed] [Google Scholar]
- 153. Hardt O, Nadel L: Systems consolidation revisited, but not revised: The promise and limits of optogenetics in the study of memory. Neurosci Lett. 2018; 680: 54–9. 10.1016/j.neulet.2017.11.062 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 154. Dudai Y, Karni A, Born J: The Consolidation and Transformation of Memory. Neuron. 2015; 88(1): 20–32. 10.1016/j.neuron.2015.09.004 [DOI] [PubMed] [Google Scholar]
- 155. Tanaka KZ, Pevzner A, Hamidi AB, et al. : Cortical representations are reinstated by the hippocampus during memory retrieval. Neuron. 2014; 84(2): 347–54. 10.1016/j.neuron.2014.09.037 [DOI] [PubMed] [Google Scholar]; Faculty Opinions Recommendation
- 156. Vukovic N, Hansen B, Lund TE, et al. : Rapid microstructural plasticity in the cortical semantic network following a short language learning session. PLoS Biol. 2021; 19(6): e3001290. 10.1371/journal.pbio.3001290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Shtyrov Y, Filippova M, Blagovechtchenski E, et al. : Electrophysiological Evidence of Dissociation Between Explicit Encoding and Fast Mapping of Novel Spoken Words. Front Psychol. 2021; 12: 571673. 10.3389/fpsyg.2021.571673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Takashima A, Bakker I, van Hell JG, et al. : Richness of information about novel words influences how episodic and semantic memory networks interact during lexicalization. NeuroImage. 2014; 84: 265–78. 10.1016/j.neuroimage.2013.08.023 [DOI] [PubMed] [Google Scholar]
- 159. Smith CN, Urgolites ZJ, Hopkins RO, et al. : Comparison of explicit and incidental learning strategies in memory-impaired patients. Proc Natl Acad Sci U S A. 2014; 111(1): 475–9. 10.1073/pnas.1322263111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Vargha-Khadem F, Gadian DG, Watkins KE, et al. : Differential effects of early hippocampal pathology on episodic and semantic memory. Science. 1997; 277(5324): 376–80. 10.1126/science.277.5324.376 [DOI] [PubMed] [Google Scholar]
- 161. Elward RL, Dzieciol AM, Vargha-Khadem F: Little evidence for fast mapping in adults with developmental amnesia. Cogn Neurosci. 2019; 10(4): 215–217. 10.1080/17588928.2019.1593123 [DOI] [PubMed] [Google Scholar]
- 162. Vargha-Khadem F, Cacucci F: A brief history of developmental amnesia. Neuropsychologia. 2021; 150: 107689. 10.1016/j.neuropsychologia.2020.107689 [DOI] [PubMed] [Google Scholar]
- 163. Ngo CT, Benear SL, Popal H, et al. : Contingency of semantic generalization on episodic specificity varies across development. Curr Biol. 2021; 31(12): 2690–2697.e5. 10.1016/j.cub.2021.03.088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Donato F, Alberini CM, Amso D, et al. : The Ontogeny of Hippocampus-Dependent Memories. J Neurosci. 2021; 41(5): 920–926. 10.1523/JNEUROSCI.1651-20.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. O'Reilly RC, Bhattacharyya R, Howard MD, et al. : Complementary learning systems. Cogn Sci. 2014; 38(6): 1229–48. 10.1111/j.1551-6709.2011.01214.x [DOI] [PubMed] [Google Scholar]
- 166. Brod G, Werkle-Bergner M, Shing YL: The influence of prior knowledge on memory: A developmental cognitive neuroscience perspective. Front Behav Neurosci. 2013; 7: 139. 10.3389/fnbeh.2013.00139 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Sutherland RJ, Lee JQ, McDonald RJ, et al. : Has multiple trace theory been refuted? Hippocampus. 2020; 30(8): 842–50. 10.1002/hipo.23162 [DOI] [PubMed] [Google Scholar]
- 168. Barry DN, Maguire EA: Remote Memory and the Hippocampus: A Constructive Critique. Trends Cogn Sci. 2019; 23(2): 128–42. 10.1016/j.tics.2018.11.005 [DOI] [PubMed] [Google Scholar]
- 169. Tambini A, Davachi L: Awake Reactivation of Prior Experiences Consolidates Memories and Biases Cognition. Trends Cogn Sci. 2019; 23(10): 876–890. 10.1016/j.tics.2019.07.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170. Noack H, Doeller CF, Born J: Sleep strengthens integration of spatial memory systems. Learn Mem. 2021; 28(5): 162–70. 10.1101/lm.053249.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171. Wang SH, Morris RGM: Hippocampal-neocortical interactions in memory formation, consolidation, and reconsolidation. Annu Rev Psychol. 2010; 61: 49–79, C1–4. 10.1146/annurev.psych.093008.100523 [DOI] [PubMed] [Google Scholar]
- 172. Conway MA, Singer JA, Tagini A: The Self and Autobiographical Memory: Correspondence and Coherence. Soc Cogn. 2004; 22(5): 491–529. 10.1521/soco.22.5.491.50768 [DOI] [Google Scholar]
- 173. Conway MA, Pleydell-Pearce CW: The construction of autobiographical memories in the self-memory system. Psychol Rev. 2000; 107(2): 261–88. 10.1037/0033-295x.107.2.261 [DOI] [PubMed] [Google Scholar]
- 174. Yates TS, Ellis CT, Turk-Browne NB: The promise of awake behaving infant fMRI as a deep measure of cognition. Curr Opin Behav Sci. 2021; 40: 5–11. 10.1016/j.cobeha.2020.11.007 [DOI] [Google Scholar]
- 175. Ellis CT, Skalaban LJ, Yates TS, et al. : Evidence of hippocampal learning in human infants. Curr Biol. 2021; 31(15): 3358–3364.e4. 10.1016/j.cub.2021.04.072 [DOI] [PubMed] [Google Scholar]
- 176. Benear SL, Ngo CT, Olson IR, et al. : Understanding relational binding in early childhood: Interacting effects of overlap and delay. J Exp Child Psychol. 2021; 208: 105152. 10.1016/j.jecp.2021.105152 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177. Cabeza R, Albert M, Belleville S, et al. : Maintenance, reserve and compensation: The cognitive neuroscience of healthy ageing. Nat Rev Neurosci. 2018; 19(11): 701–710. 10.1038/s41583-018-0068-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

