Matching Recall and Storage in Sequence Learning with Spiking Neural Networks

Brea, Johanni Michael; Senn, Walter; Pfister, Jean Pascal (2013). Matching Recall and Storage in Sequence Learning with Spiking Neural Networks. Journal of neuroscience, 33(23), pp. 9565-9575. Society for Neuroscience 10.1523/JNEUROSCI.4098-12.2013

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Storing and recalling spiking sequences is a general problem the brain needs to solve. It is, however, unclear what type of biologically plausible learning rule is suited to learn a wide class of spatiotemporal activity patterns in a robust way. Here we consider a recurrent network of stochastic spiking neurons composed of both visible and hidden neurons. We derive a generic learning rule that is matched to the neural dynamics by minimizing an upper bound on the Kullback–Leibler divergence from the target distribution to the model distribution. The derived learning rule is consistent with spike-timing dependent plasticity in that a presynaptic spike preceding a postsynaptic spike elicits potentiation while otherwise depression emerges. Furthermore, the learning rule for synapses that target visible neurons can be matched to the recently proposed voltage-triplet rule. The learning rule for synapses that target hidden neurons is modulated by a global factor, which shares properties with astrocytes and gives rise to testable predictions.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology
10 Strategic Research Centers > Center for Cognition, Learning and Memory (CCLM)

UniBE Contributor:

Brea, Johanni Michael; Senn, Walter and Pfister, Jean Pascal

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

0270-6474

Publisher:

Society for Neuroscience

Language:

English

Submitter:

Stefan von Känel-Zimmermann

Date Deposited:

13 Jun 2014 13:57

Last Modified:

20 Jun 2016 09:51

Publisher DOI:

10.1523/JNEUROSCI.4098-12.2013

PubMed ID:

23739954

BORIS DOI:

10.7892/boris.45852

URI:

https://boris.unibe.ch/id/eprint/45852

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