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. 2008 Oct-Dec;1(2):170–171. doi: 10.4161/cib.1.2.7140

Olfactory learning and spike timing dependent plasticity

Iori Ito 1, Rose Chik-ying Ong 1,2, Baranidharan Raman 1,3, Mark Stopfer 1,
PMCID: PMC2686012  PMID: 19704883

Abstract

Hebbian spike-timing-dependent plasticity (STDP) is widely observed in organisms ranging from insects to humans and may provide a cellular mechanism for associative learning. STDP requires a millisecond-scale temporal correlation of spiking activity in pre- and postsynaptic neurons. However, animals can learn to associate a sensory cue and a reward that are presented seconds apart. Thus, for STDP to mediate associative learning, the brain must retain information about the sensory cue as spiking activity until the reinforcement signal arrives. In our recent study, we tested this requirement in the moth Manduca sexta. We characterized the odor responses of Kenyon cells, a key neuronal population for insect olfactory learning, and conditioned moths to associate an odor with a sugar water reward. By varying the amount of temporal overlap between odor-evoked spikes and the reward presentation, we found that the most learning occurred when spiking activity had no overlap with the reward presentation; further, increasing the overlap actually decreased the learning efficacy. Thus, STDP alone cannot mediate the olfactory learning in Kenyon cells. Here, we discuss possible cellular mechanisms that could bridge the temporal gap between physiological and behavioral time scales.

Key words: olfactory learning, Hebb synapse, spike-timing-dependent plasticity, STDP, mushroom body, Kenyon cells, temporal contiguity


When animals learn to associate events, timing is critical. Free-flying honeybees, for example, can readily learn to associate the color of a flower with the sugary nectar it provides, but only if the timing is right. In an experiment in which color presentation (conditioned stimulus, CS) was timed, effective learning occurred only when the color was switched on while bees were approaching the sugar source (unconditioned stimulus, US).1 However, if the color was presented only when the bees were feeding on or leaving the sugar source, the bees failed to learn the color-reward association. This study, like many others, illustrates that the brain must somehow retain information about a sensory cue that predicts a reward until the reward (or punishment) is given. What exactly is the neural representation that holds such information? Our recent study examined this issue.2 Here, we further discuss our results.

It is often argued that the sustained neural representation of a stimulus consists of the persistent firing of single cells or reverberating firing within a neural network.3 Persistent firings in single neurons have been observed in the prefrontal cortex of monkeys performing working memory tasks (reviewed in ref. 4). A theoretical study5 proposed reverberating firing or a relay of neural firing in a recurrent network in the CA3 region of hippocampus of mammals engaging in trace conditioning to explain why the hippocampus is required for trace eyeblink conditioning.6,7 Spike timing dependent plasticity (STDP), a form of Hebbian learning that requires millisecond-scale correlations in spiking between pre- and postsynaptic neurons, has been proposed as a mechanism for establishing these associations. But, is temporal contiguity between spike representations of CS and US always necessary for learning to occur?

To answer this long-standing question, one must first know the neural representation of the CS in a cell population in which learning is thought to occur in order to design behavioral experiments to test the importance of temporal contiguity between the CS and US for learning. To do this, we used the moth Manduca sexta,2 focusing on the Kenyon cells in the mushroom body, a neuronal population in insects believed to be crucial for acquiring8,9 and recalling10,11 olfactory memory. Synapses between Kenyon cells and followers called β-lobe neurons undergo STDP.12 Thus, Kenyon cells are a suitable cell population for testing the role of STDP in associative learning.13 We found that long odor presentations reliably caused Kenyon cells to fire spikes, but only very briefly upon the odor's onset and offset; the spiking was not sustained. This response characteristic enabled us to separately test the importance of the onset and offset spikes in behavior experiments. By pairing an odor (CS) and a sugar water reward (US), we trained moths to extend their proboscises when prompted by an odor stimulus (the proboscis extension reflex14). We varied the amount of temporal contiguity between CS and US presentations by means of a computer-regulated stimulus delivery system. We found that moths learned to associate odor and reward best when onset spikes in Kenyon cells were followed a few seconds later by the reward. Maximizing the temporal overlap between the odor-evoked spikes in Kenyon cells and the US presentation actually reduced the amount of learning. Thus, in Kenyon cells, the mechanism of learning did not require the temporal contiguity of spiking between the neural representation of the CS and the neural representation of the US.

Learning may take place in other cells as well. To the extent that learning occurs in Kenyon cells, it does not require sustained spiking. We speculate that the very brief period of spiking elicited by odors in Kenyon cells may trigger biochemical representations that endure long enough to coincide with delayed reinforcement stimuli. Here we outline one such potential mechanism. Odor-elicited depolarization is known to elevate levels of calcium in Kenyon cells.15,16 Elevated calcium could signal the presence of the CS, and activate enduring Ca2+/calmodulin-sensitive adenylate cyclase dependent mechanisms that may underlie learning.10,11 Indeed, many studies with mutants in Drosophila suggest that calcium-triggered, cyclic adenosine monophosphate (cAMP)-dependent mechanisms in the presynaptic terminals of Kenyon cells are critically important for olfactory learning. And, in Kenyon cells, reward pathways can also activate adenylate cyclase, here through octopamine receptors.17 Thus, both conditioned and unconditioned stimulus signals could be detected and combined in Kenyon cells by a Ca2+/calmodulin-sensitive adenylate cyclase. The fine-scale timing requirements for odor and reward pairing through adenylate cyclase are unknown, but some evidence indicates the effective temporal window for its synergic activation by a CS and US could be quite wide, at least on the order of seconds or tens of seconds.18 Thus, cAMP-dependent plasticity could be triggered by a brief depolarization, yet provide a mechanism that encompasses behavioral timescales. Known molecular properties of adenylate cyclase could even explain the temporal requirement that the CS has to be presented before the US to cause learning.18 This plasticity mechanism, like one initially proposed for Aplysia, and known as associative facilitation,18,19 could occur largely through the presynaptic modulation of Kenyon cells and may not require Hebbian, temporally contiguous spiking in pre- and postsynaptic neurons at all.

This hypothesis, consistent with a recent theoretical study,20 awaits testing. Other interesting theoretical frameworks for associative learning based on Hebbian plasticity also include slower biochemical processes such as the release of nitric oxide21 or the global elevation of dopamine levels in the extracellular space.22 We suggest it would be fruitful to look closely at the time course of biochemical processes triggered by transient spiking activity. This approach may illuminate mechanisms to bridge a large temporal gap between physiological and behavioral time scales in learning.

Acknowledgements

We are grateful to Drs. Felice Dunn and Joby Joseph for helpful discussions. This work was supported by the Japan Society for the Promotion of Science (00169, 70510) to Iori Ito, a Joint NIH-NIST postdoctoral fellowship award by the National Research Council to Baranidharan Raman, and an intramural grant from NIH-NICHD to Mark Stopfer.

Abbreviations

STDP

spike-timing-dependent plasticity

CS

conditioned stimulus

US

unconditioned stimulus

cAMP

cyclic adenosine monophosphate

Addendum to: Ito I, Ong R, Raman B, Stopfer M. Sparse odor representation and olfactory learning. Nature Neurosci. 2008;11:1177–1184. doi: 10.1038/nn.2192.

Footnotes

Previously published online as a Communicative & Integrative Biology E-publication: http://www.landesbioscience.com/journals/cib/article/7140

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