Inferring learning rules from distributions of firing rates in cortical neurons.

ABSTRACT: Information about external stimuli is thought to be stored in cortical circuits through experience-dependent modifications of synaptic connectivity. These modifications of network connectivity should lead to changes in neuronal activity as a particular stimulus is repeatedly encountered. Here we ask what plasticity rules are consistent with the differences in the statistics of the visual response to novel and familiar stimuli in inferior temporal cortex, an area underlying visual object recognition. We introduce a method that allows one to infer the dependence of the presumptive learning rule on postsynaptic firing rate, and we show that the inferred learning rule exhibits depression for low postsynaptic rates and potentiation for high rates. The threshold separating depression from potent

SUBMITTER: Lim S 

PROVIDER: S-EPMC4666720 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature