Abstract
Recent studies suggest the hypothesis that a shared neural ensemble may link distinct memories encoded close in time1–13. According to the memory allocation hypothesis1,2, learning triggers a temporary increase in neuronal excitability14–16 that biases the representation of a subsequent memory to the neuronal ensemble encoding the first memory, such that recall of one memory increases the likelihood of recalling the other memory. Accordingly, we report that the overlap between the hippocampal CA1 ensembles activated by two distinct contexts acquired within a day is higher than when they are separated by a week. Multiple convergent findings indicate that this overlap of neuronal ensembles links two contextual memories. First, fear paired with one context is transferred to a neutral context when the two are acquired within a day but not across a week. Second, the first memory strengthens the second memory within a day but not across a week. Older mice, known to have lower CA1 excitability16,17, do not show the overlap between ensembles, the transfer of fear between contexts, or the strengthening of the second memory. Finally, in aged animals, increasing cellular excitability and activating a common ensemble of CA1 neurons during two distinct context exposures rescued the deficit in linking memories. Taken together, these findings demonstrate that contextual memories encoded close in time are linked by directing storage into overlapping ensembles. Alteration of these processes by aging could affect the temporal structure of memories, thus impairing efficient recall of related information.
Contextual memories are encoded in discrete and sparse populations of neurons in the hippocampus18–22. Recent findings demonstrated that increasing the relative neuronal excitability of a subset of neurons increases the probability that those neurons will participate in a memory trace6,8–11. While previous studies used viral vectors to manipulate excitability, temporary increases in excitability occur naturally following learning, including in the hippocampus14,15,23. Therefore, two distinct memories could be linked across time because the temporary increase in excitability would bias the storage of a subsequent memory to many of the same neurons that encoded the first memory, such that recall of one of these events would also likely lead to recall of the other, a key prediction of the memory allocation hypothesis1,2.
To investigate the neuronal ensembles encoding multiple memories, we constructed an open-source, head-mounted, miniature fluorescent microscope7,24, to image in vivo calcium transients in CA1 neurons using GCaMP6f. With this approach we tracked the activation of the same neurons in mice as they freely explored 3 distinct novel contexts across multiple days (Fig. 1a–c, Extended Data Fig. 1–2). We recorded CA1 neurons activated by 3 different contexts separated by either 5 hours (5h) or 7 days (7d). Previous studies show transient learning-dependent increases in neuronal excitability14,15,25 and we confirmed that 5h after context exposure there was an increase in excitability in CA1 neurons that encoded the context (Extended Data Fig. 3c,d). Therefore, we predicted that the overlap between the neural representations of two contexts separated by 5h would be higher than the overlap of the neural representations of two contexts separated by 7d.
We exposed mice to three distinct, novel contexts. A and C were separated by 7d; B and C were separated by 5h. Using miniature microscopes, we imaged active CA1 neurons during each context exploration (Fig. 1d). We found more overlap between the neural ensembles encoding B & C, spaced 5h apart, than between the neural ensembles encoding A & C, spaced 7d apart (Fig. 1f, Extended Data Fig. 4a,b). Importantly, this difference was not due to differences in the total number of active CA1 cells in the three contexts (Fig. 1e). We confirmed these findings with the TetTag transgenic system, a non-invasive technique that allowed us to tag neurons active during the exploration of two contexts26,27 (Fig. 2a,b, Extended Data Fig. 3a,b). We used this transgenic approach to tag the neural ensemble activated by exploration of an initial novel context (GFP+) and compared this population to the ensemble activated by exploration of a second distinct, novel context (using ZIF immunohistochemistry), either 5h or 7d later (Fig. 2c–e). When the two contexts were separated by 7d, the overlap between the two ensembles was similar to what was expected by chance (Fig. 2f), indicating that independent populations of neurons encoded the two distinct contexts. However, when the two contexts were separated by 5h, overlap between neuronal ensembles was significantly above chance levels and higher than in the 7d group (Fig. 2f). Together, the calcium imaging and TetTag data provide converging evidence that overlapping neural ensembles encode distinct contexts when these contexts are separated by 5h, but not by 7d.
To determine whether the overlap of neuronal representations link contextual memories that occurred close in time, such that the recall of one is more likely to lead to the recall of the other, we again exposed animals to three distinct contexts as described above: A and C were separated by 7d, and B and C were separated by 5h. Two days later, mice were placed in C and given an immediate footshock (Fig. 3a). Since the neural representations of B & C overlap more than A & C (Extended Data Fig. 5), recall of C (shocked context) should lead to recall of B (but not A). Therefore, the fear associated with C should transfer to B (but not to A). Remarkably, we found that mice tested in B, a context in which they had not been shocked, froze as much as mice tested in C (shocked context; Fig. 3b). In contrast, mice tested in A froze significantly less than mice tested in the other two contexts. These results support the hypothesis that the overlap between neuronal representations contextually links memories close in time.
Next, we tested whether the memories for B and C remain distinct, rather than forming a unitary memory. If so, extinction of the fear associated with B should not affect recall in C. Again, we exposed animals to B and 5h later to C, and then paired C with a footshock. Two days later, the mice were tested in either C (shocked context), B (5h; not shocked), or D (novel context; Fig. 3c). Consistent with the prior experiment, mice froze similarly in C and B, despite never having been shocked in B. However, they froze less in a novel context (D; Fig. 3d, Extended Data Fig. 6b), demonstrating memory specificity. Next, we carried out repeated exposures in either context C, B, or D daily for 5 days. On the final day, the mice were tested in C (shocked context). As expected, repeated exposures in C (compared to repeated exposures in novel context D) resulted in lower freezing during the extinction test (Fig. 3e). Mice that were repeatedly exposed to B did not show less freezing in C, demonstrating that repeated exposures in B do not cause extinction in C. These results demonstrate that although the memories for B and C show considerable overlap in their ensembles, and recall of B appears to trigger recall of C, memories for these two contexts, acquired 5h apart, remain distinct.
Recent findings demonstrated that manipulations that enhance neuronal excitability can lead to increases in memory strength11. We found that 5h after exposure to a context, there was an increase in excitability in cells that encoded that context (Extended Data Fig. 3c,d). Thus, the sharing of the neural ensemble and the increase in excitability should result in the strengthening of the memory for a second context 5h later. To test for modulation of memory strength, mice were exposed to B and then exposed to C 5h or 7d later. Two days later, animals received an immediate shock in C. Two days after that, they were tested in C. Home cage controls were trained in the same manner, except they were not exposed to B (Fig. 3f). Mice trained with the 5h interval had enhanced memory for C compared to either mice trained with the 7d interval or home cage controls (Fig. 3g; Extended Data Fig. 6c,d,7). Furthermore, this enhancement required NMDA-receptor activity (Extended Data Fig. 8). These data support our previous findings and indicate that for a period of time (5h, but not 7d), the processes triggered by the encoding of one memory can modulate the strength of subsequent memories.
Taken together, the results presented above demonstrate that the overlap between the neuronal ensembles representing two separate contextual memories leads to linking of these memories and suggests that excitability has a key role in this process. Since CA1 neuronal excitability decreases with aging16,17,23,28, we predicted that memory linking processes may be disrupted in older mice. To test this, we started by repeating the calcium imaging (Fig. 4a) as well as the TetTag experiment (Extended Data Fig. 9e,f) in aged mice. Unlike in young adult mice (3–6 month old), in aged mice (14–18 month old) there was no difference between the overlap of neural ensembles encoding contexts spaced 5h or 7d apart (Fig. 4b). This lack of overlap was not due to an inability to reliably reactivate the same neural ensemble during recall of the same context (Extended Data Fig. 9a,b) or to general contextual memory deficits (Extended Data Fig. 9c,d).
The results presented above predict that the lack of a shared neural representation in aged mice should disrupt memory linking. To test this hypothesis, we repeated in aged mice the experiment testing the transfer of fear between contexts (Fig. 4c). The results showed that the fear associated with C does not transfer to B in aged mice: the freezing triggered by B (no shock context) was not different than that observed in a novel context, D, and significantly lower than that in C (shocked context; Fig. 4d). Similarly, we found that, unlike in young mice, in aged mice exposure to B (5h before exposure to C) does not enhance memory for C (Fig. 4e,f). Importantly, this was not due to a deficit in learning of a single context, since when trained with a single context the performance of aged mice was indistinguishable from that of young mice (Extended Data Fig. 9c,d). Furthermore, the differences between young and aged mice were also not due to strain differences, as we replicated the transfer and enhancement experiments with young mice from the same genetic background as the aged mice (Extended Data Fig. 6). Altogether, these results strongly support the role of neuronal excitability in linking distinct contextual memories encoded close in time, as aged mice exposed to two contexts close in time did not show the increased overlap between ensembles which presumably led to the lack of both the transfer of fear between contexts and the strengthening of the second memory.
To increase neuronal excitability and rescue the memory-linking deficit in aged mice, we injected a lentivirus to express hM3Dq Designer Receptors Exclusively Activated by Designer Drugs (DREADD) tagged with GFP in a sparse population of dorsal CA1 neurons (Extended Data Fig. 10a,b). Clozapine-N-oxide (CNO) increases excitability and activates cells that express the DREADD receptors11 (Extended Data Fig. 10c,d). To bias the allocation of the two contextual memories so that they shared an overlapping neural ensemble, we injected CNO prior to both learning experiences, spaced 5h apart (Fig. 4g). The control group was given a saline (SAL) injection prior to the first exploration and a CNO injection prior to the second exploration. To test the behavioral consequences of sharing a neural ensemble, mice were brought back two days later for an immediate shock in the second context. Two days later, mice were tested in the first (non-shocked) context to assess their transfer of fear. The CNO group froze more than the SAL group in the non-shocked context (Fig. 4h). This was not due to increased anxiety caused by CNO (Extended Data Fig. 10e,f). Thus, increasing neuronal excitability in aged mice rescued the memory-linking deficit.
Mechanisms that link memories are critically important for organizing the enormous number of related memories stored throughout a lifetime. Our results support the memory allocation hypothesis1,2 and are consistent with human data and computational modeling29, suggesting that memories encoded within close temporal proximity are more likely to be co-recalled than memories encoded across more distant time frames. Our data indicate that overlapping populations of CA1 neurons serve to link and strengthen memories, thus facilitating integrated recall of experiences encoded close in time while separating those encoded further in time. Temporary increases in excitability14–16 likely represent one of a family of mechanisms (synaptic tagging and capture2,30 is another example) that structure the acquisition and storage of information to facilitate future use and recall. Alteration of these processes, such as decreases in neuronal excitability during aging, could affect the organization of memory thus impairing efficient recall of related information.
Methods
Subjects
All experimental protocols were approved by the Chancellor’s Animal Research Committee of the University of California, Los Angeles, in accordance with NIH guidelines. Adult C57Bl/6NTac, C57Bl/6NTac×129S6/SvEvTac and C57Bl/6NIA male mice were singly housed on a 12 hr light/dark cycle. Young adult mice were 3–6 months old, and aged adult mice were 14–18 months old. TetTag mice were generated by crossing transgenic mice that express a histone 2B-GFP fusion protein controlled by the tetO promoter (strain Tg(tetO-HIST1H2BJ/GFP) 47Efu/J; stock number 005104; Jackson Laboratory) with mice that express tetracycline-transactivator (tTA) protein under control of the c-fos promoter. TetTag mice were maintained in a C57BL/6N background. Mice were born and raised on doxycycline (dox) chow (40 mg/kg) to prevent GFP expression prior to experimental manipulations. To open the window for activity-dependent labeling, dox chow was replaced with regular chow for 3 days prior to the start of an experiment. Expression of new GFP was shut off by administration of high dox chow (1g/kg). Memory linking (transfer of fear and enhancement) experiments were conducted with both C57Bl/6NTac × 129S6/SvEvTac and C57Bl/6NIA mice.
Viral construct
AAV1.Syn.GCaMP6f.WPRE.SV40 virus (titer: 4.65 × 1013 GC/ml) was purchased from Penn Vector Core. The hM3Dq vector was derived from the CaMK2a.hM4Di.T2A.EGFP/CREB plasmid31. The hM4Di.T2A.EGFP/CREB in that plasmid was replaced by hM3Dq.T2A.EGFP/dTomato. The HA-tagged hM3Dq and dTomato-tagged EGFP are expressed under the CaMK2a promoter and cloned on either side of a T2A self-processing viral peptide. Vesicular-stomatitis-virus-G-protein-pseudotyped lentiviral vectors were produced by calcium-phosphate-mediated transient transfection of human embryonic kidney 293 T (HEK293T) cells, as previously described31. Lentivirus vectors were titered on HEK293T cells based on EGFP expression (titer: 6 ×105 cells/ml).
Surgery
Mice were anesthetized with 1.5 to 2.0% isoflurane for surgical procedures and placed into a stereotactic frame (David Kopf Instruments, Tujunga, CA). Lidocaine (2%; Akorn, Lake Forest, IL) was applied to the sterilized incision site as an analgesic, while subcutaneous saline injections were administered throughout each surgical procedure to prevent dehydration. In addition, carprofen (5mg/kg) and dexamethasone (0.2mg/kg) were administered both during surgery and for 7 days post-surgery with amoxicillin.
For calcium imaging experiments, mice underwent two separate surgical procedures. First, mice were unilaterally microinjected with 500 nanoliters of AAV1.Syn.GCaMP6f.WPRE.SV40 virus at 50nl/min into the dorsal CA1 using the stereotactic coordinates: −2.1 mm posterior to bregma, 2.0 mm lateral to midline and −1.65 mm ventral to skull surface. Two weeks later, the microendoscope (a gradient refractive index lens) was implanted above the previous injection site. For the procedure, a 2.0mm diameter circular craniotomy was centered 0.5mm medial to the virus injection site. Artificial cerebrospinal fluid (ACSF) was repeatedly applied to the exposed tissue to prevent drying. The cortex directly below the craniotomy was aspirated with a 27-gauge blunt syringe needle attached to a vacuum pump. The microendoscope (0.25 pitch, 0.50 NA, 2.0mm in diameter and 4.79 in length, Grintech Gmbh) was slowly lowered with a stereotaxic arm above CA1 to a depth of 1.35mm ventral to the surface of the skull at the most posterior point of the craniotomy. Next, a skull screw was used to anchor the microendoscope to the skull. Both the microendoscope and skull screw were fixed with cyanoacrylate and dental cement. Kwik-Sil (World Precision Instruments) covered the microendoscope. Two weeks later, a small plastic baseplate was cemented onto the animal’s head atop the previously formed dental cement. Debris was removed from the exposed lens with ddH2O, lens paper and forceps. The microscope was placed on top of the baseplate and locked in a position in which the field of focus was in view, so that cells and visible landmarks, such as blood vessels, appeared sharp and in focus. Finally, a plastic cover was fit into the baseplate and secured by magnets.
For aged DREADD experiments, mice were bilaterally microinjected with 700 nanoliters of Lentivirus CaMK2.hM3Dq.T2A.EGFP/dTomato virus at 100nl/min into the dorsal CA1 using the stereotactic coordinates: −1.80 mm posterior to bregma, +/−1.50 mm lateral to midline, −1.60 mm ventral to skull surface; −2.50 mm posterior to bregma, +/−2.00 mm lateral to midline, −1.70 mm ventral to skull surface.
Drug injections
Clozapine-N-oxide (CNO; Enzo Life Sciences) was made in a stock solution of 5mg/10ml in DMSO and then diluted in saline to desired concentration. CNO was injected (i.p.) at a dose of 0.5mg/kg 45 minutes prior to behavioral manipulation. MK-801 (Sigma-Aldrich) was diluted in saline and injected (i.p.) at a dose of 0.1mg/ml 30min prior to behavioral manipulation. Saline was used as the vehicle.
Behavioral procedures
Prior to all experiments, mice were handled for one minute in the vivarium each day for three days. Then, mice were habituated to transportation and external environmental cues by being carted out of the vivarium into the experimental rooms and handled for one minute in the experimental room each day for five days prior to the experiment. For within-subject experiments, mice explored three different contexts, separated by 7d or 5h. Exploration duration of each context was 10 minutes (C57Bl/6NTac and C57Bl/6NIA strains) or five minutes (C57Bl/6NTac×129S6/SvEvTac strain). Contexts were counterbalanced. For between-subject experiments, mice explored two contexts either separated by 7d or 5h. The area of each context was approximately 800 cm2. The shape (circular, triangular, square), scent (simple green, omega, alcohol), visual cues (white plastic walls/opaque textured flooring, black acrylic walls/white acrylic flooring, metal walls/metal grid flooring) were different for each context. For immediate shock32 (imm shock), mice were placed in the chamber with a baseline of 10 seconds (0.7mA- C57Bl/6NTac and C57Bl/6NIA strains) or six seconds (C57Bl/6NTac×129S6/SvEvTac strain) followed by a 2-second shock (0.7mA- C57Bl/6NTac and C57Bl/6NIA strains; 0.5mA- C57Bl/6NTac×129S6/SvEvTac strain). Thirty seconds after the shock, mice were placed back in their home cage. For context tests (cxt text), mice were returned to the designated context. For extinction (extinct) trials, mice were placed in a context for five minutes without shock. Freezing (the cessation of all movement except for respiration), was assessed via an automated scoring system (Med Associates) with 30 frames/s sampling; the mice needed to freeze continuously for at least one second before freezing could be counted33,34. Experimental groups and contexts were counterbalanced across the within-subjects design. For between-subjects design, animals were randomly assigned to groups.
Integrated miniature microscope data acquisition and analyses
Digital imaging data was sent from the CMOS imaging sensor (Aptina, MT9V032) to custom data acquisition (DAQ) electronics and USB Host Controller (Cypress, CYUSB3013) over a lightweight, highly flexible cable. The electronics packaged the data to comply with the USB Video Class (UVC) protocol and then transmit the data over Super Speed USB to a PC running custom DAQ software. The DAQ software was written in C++ and uses Open Computer Vision (OpenCV) libraries for image acquisition. Images are acquired at 30 frames per second and recorded to uncompressed .avi files. The DAQ software simultaneously records animal behavior, time stamping both video streams for offline alignment.
Our analysis suite, written in MATLAB, processes the raw videos and extracts relevant experimental information. Initial processing of calcium imaging data corrected column wise ADC variation, removed small movement artifacts using an amplitude based image registration algorithm, and calculated the mean fluorescence per pixel for conversion to dF/F. A fully automated segmentation algorithm identified and segmented pixels of active cells. The algorithm steps through the recorded calcium imaging video detecting pixel locations of local maxima of fluorescence which met a minimum dF/F criteria. For each of these pixel locations, an iterative process was used to group together neighboring pixels based on that pixel’s fluorescence time trace (+/−5 second window around local maxima of fluorescence event) correlation with the mean time trace of the pixels group in the previous iterative step. Pixels with high correlation (0.95) were added to the group and the process was repeated until the total number of pixels in the group no longer changed. Cells whose centers were within 7μm of each other or whose pixels overlapped by at least 80% were merged together. Once cells were segmented, we extracted dF/F traces and removed crosstalk between neighboring cells. Crosstalk was removed by first detecting calcium transients across all cells and then keeping only the largest event within a 30μm radius of the cell they were associated with7. Calcium events were calculated by first filtering the dF/F (2-pole butterworth low-pass filter: 0.3Hz) to remove noise. Peaks in the filtered dF/F trace above 0.05 dF/F were detected and a window was calculated from the onset of the peak to the return back to baseline. If this window was greater than one second, it was counted as an event. Recordings from multiple sessions of the same animal were aligned using the same amplitude based registration algorithm used for within session registration, except the algorithm was only applied to the mean frame from each session. Once two sessions were registered, cells across two sessions were matched to each other using a distance measure (centers within 5μm of each other).
Code availability
The Matlab analysis suite, as described above, is available for download at www.miniscope.org. This Wiki site is our open-source platform for sharing access to all of our associated software and hardware files for implementing our miniature microscope.
Confocal imaging and histological analysis
Forty-five minutes after exploration of a context, mice were transcardially perfused with 4% PFA, followed by 24 hr post-fixation in the same solution. Free-floating 50μm coronal sections were prepared using a vibratome. Sections were incubated in blocking solution containing 0.2% Triton X, 10% normal goat serum in 0.1 M phosphate buffer for at least 1 hour at room temperature. Then the sections were incubated in the blocking solution with anti-EGR-1 rabbit primary antibody (Cell Signaling; 1:750 dilution for 24 hr at 4°C). After a series of 0.1 M phosphate buffer washes, sections were stained using the same blocking solution as above and Alexafluor 568 goat anti-rabbit secondary antibody (Jackson Immuno Research; 1:500 dilution for 2 hr at room temperature). Finally, sections were stained with DAPI (Invitrogen; 1:1,000 dilution for 15 min) and mounted on slides.
Sections from −1.8mm to −2.2mm posterior to bregma were imaged at 20× magnification using a Nikon C2 or A1 confocal microscope. All imaging was done using standardized laser settings, held constant for samples from the same experimental data set. Cells were manually counted by a blinded rater. Images were quantified from 1–4 sections per animal. The percentage of DAPI-labeled cells containing GFP, ZIF, or both was calculated for each image and then averaged to produce a single measurement for each animal. To normalize for chance, we subtracted chance (GFP/DAPI) × (ZIF/DAPI) × 100 from the observed overlap (GFP and ZIF)/DAPI × 100 and then divided by chance.
Electrophysiology
Mice were anesthetized with a cocktail (3 mL/kg) containing ketamine (25 mg/mL), xylazine (1.3 mg/mL), and acepromazine (0.25 mg/mL) and perfused for 3 minutes with ice-cold, oxygenated, sucrose ACSF containing (in mM) 83 NaCl, 2.5 KCl, 3.3 MgSO4, 0.5 CaCl2, 1NaH2PO4, 26.2 NaHCO3, 22 glucose, and 72 sucrose (~315 mOsml, pH 7.4). The brain was rapidly dissected and 300 μm-thick coronal slices were collected and transferred to an interface chamber containing the same modified sucrose ACSF solution and incubated at 34° C for 30 min. Slices were then held at room temperature (23° C) in the interface chamber for at least 45 min before initiating recordings. Recordings were made in a submersion-type recording chamber and perfused with oxygenated ACSF containing (in mM) 119 NaCl, 2.5 KCl, 1.3 MgCl2, 2.5 CaCl2, 1.3 NaH2PO4, 26.0 NaHCO3, 20 glucose (~295 mOsml) at 23° C at a rate of 1–2 ml/minute.
All recordings were performed within the CA1 region of the hippocampus. Neurons were selected based on emission spectra (GFP+ or GFP-), and were then visualized under infrared differential interference contrast video microscopy (Olympus BX-51 scope and Rolera XR digital camera). Whole-cell recordings were made at room temperature using pulled patch pipettes (5–6 MΩ) filled with internal solution containing (in mM) 150 K-Gluconate, 1.5 MgCl2, 5.0 HEPES, 1 EGTA, 10 phosphocreatine, 2.0 ATP, and 0.3 GTP. Recordings were obtained using Multiclamp 700B patch amplifiers (Molecular Devices) and data analyzed using pClamp 10 software (Molecular Devices). Data were acquired from cells requiring less than −100 pA to hold at a membrane potential of −70mV. Current-spike relationship was determined with a series of depolarizing current steps applied for 500 ms in 10pA increments at 5 sec intervals.
Statistical analysis
GraphPad Prism version 6.00 (GraphPad Software, La Jolla, California USA) was used for statistical analyses. Statistical significance was assessed by two-tailed paired Student’s t-tests, two-tailed unpaired Student’s t-tests, one-way ANOVA, or two-way ANOVA where appropriate. Significant effects or interactions were followed up with post-hoc testing with the use of Fisher’s Least Significant Difference (LSD) where specified in the figure legends. Significance levels were set to P = 0.05. Significance for comparisons: *P < 0.05; **P < 0.01; ***P < 0.001. Sample sizes were chosen on the basis of previous studies. Data met assumptions of statistical tests, and variance was similar between groups for all metrics measured.
Extended Data
Acknowledgments
We thank Baljit Khakh for support in the development of the miniaturized microscopes. We thank Elaine Thai, Davood Tarzi, Ashim Ahuja, Kelly Lew, Elaine Lu, Emelia Stuart, Sonia Zhang, Shayan Ghiaee, Celina Yang, Aria Fariborzi, Kevin Cheng, Naina Rao, Arlene Chang, Chris Grimmick and Michael Einstein for help with experiments; Naina Rao for assistance with graphical design; and all members of the Silva laboratory for their support. This work was supported by National Institute on Aging R37 AG013622 and the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation to A.J.S.; National Institutes of Health RO1 MH101198, 1U54 HD087101 and VA Merit Award BX00152401A1 to P.G.; National Research Service Award F32 MH97413 and Behavioral Neuroscience Training Grant T32 MH15795 to D.J.C.; Neurobehavioral Genetics Training Grant T32 NS048004 to D.A.; Cellular Neurobiology Training Grant T32 NS710133 and Epilepsy Foundation Postdoctoral Research Training Fellowship to T.S.; National Institutes of Health U01 NS094286-01 and David Geffen School of Medicine Dean’s Fund for development of open-source miniaturized microscopes to A.J.S and P.G.
Footnotes
Supplementary Information Full Methods and Extended Data display items and their references are available in the online version of the paper.
The authors declare no competing financial interests.
Readers are welcome to comment on the online version of this article.
Author Contributions D.J.C., J.S., T.S., D.A. and A.J.S. contributed to the study design. D.A., T.S., D.J.C., P.G. and A.J.S. developed the miniature microscope system. D.A. engineered hardware and software associated with the miniature microscope and wrote the MATLAB analysis suite. T.S., D.J.C., W.S., J.S., S.F., J.L. and I.K. performed surgeries. D.J.C., T.S., M.L., W.S. and B.W. conducted calcium imaging and TetTag experiments. M.M. engineered and provided TetTag mice. D.J.C., J.S., T.S., M.L., W.S., B.W., M.V. and M.Z. conducted behavioral experiments. D.J.C., D.A., T.S. and A.L. analyzed the data. J.B., D.J.C. and T.S. conducted in vitro physiology experiment. M.T. supported physiology experiment. Y.S. and M.K. made DREADD virus. D.J.C., I.K., B.W. and K.B. managed mouse colony. D.J.C., T.S., D.A., J.S. and A.J.S. wrote the paper. All authors discussed and commented on the manuscript.
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