Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-down Connections

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Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-down Connections

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dc.contributor.author Burbank, Kendra Stewart
dc.contributor.author Kreiman, Gabriel
dc.date.accessioned 2012-09-25T17:41:08Z
dc.date.issued 2012
dc.identifier.citation Burbank, Kendra S., and Gabriel Kreiman. 2012. Depression-biased reverse plasticity rule is required for stable learning at top-down connections. PLoS Computational Biology 8(3): e1002393. en_US
dc.identifier.issn 1553-734X en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:9637989
dc.description.abstract Top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. During sensory experience, lower neocortical areas are activated before higher ones, causing top-down synapses to experience a preponderance of post-synaptic activity preceding pre-synaptic activity. This timing pattern is the opposite of that experienced by bottom-up synapses, which suggests that different versions of spike-timing dependent synaptic plasticity (STDP) rules may be required at top-down synapses. We consider a two-layer neural network model and investigate which STDP rules can lead to a distribution of top-down synaptic weights that is stable, diverse and avoids strong loops. We introduce a temporally reversed rule (rSTDP) where top-down synapses are potentiated if post-synaptic activity precedes pre-synaptic activity. Combining analytical work and integrate-and-fire simulations, we show that only depression-biased rSTDP (and not classical STDP) produces stable and diverse top-down weights. The conclusions did not change upon addition of homeostatic mechanisms, multiplicative STDP rules or weak external input to the top neurons. Our prediction for rSTDP at top-down synapses, which are distally located, is supported by recent neurophysiological evidence showing the existence of temporally reversed STDP in synapses that are distal to the post-synaptic cell body. en_US
dc.language.iso en_US en_US
dc.publisher Public Library of Science en_US
dc.relation.isversionof doi:10.1371/journal.pcbi.1002393 en_US
dc.relation.hasversion http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291526/pdf/ en_US
dash.license LAA
dc.title Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-down Connections en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal PLoS Computational Biology en_US
dash.depositing.author Kreiman, Gabriel
dc.date.available 2012-09-25T17:41:08Z

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