Synaptic weights that correlate with presynaptic selectivity increase decoding performance.

ABSTRACT: The activity of neurons in the visual cortex is often characterized by tuning curves, which are thought to be shaped by Hebbian plasticity during development and sensory experience. This leads to the prediction that neural circuits should be organized such that neurons with similar functional preference are connected with stronger weights. In support of this idea, previous experimental and theoretical work have provided evidence for a model of the visual cortex characterized by such functional subnetworks. A recent experimental study, however, have found that the postsynaptic preferred stimulus was defined by the total number of spines activated by a given stimulus and independent of their individual strength. While this result might seem to contradict previous literature, there are many f

SUBMITTER: Gallinaro JV 

PROVIDER: S-EPMC10434873 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature