Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring.

ABSTRACT: The connectivity structure of neuronal networks in cortex is highly dynamic. This ongoing cortical rewiring is assumed to serve important functions for learning and memory. We analyze in this article a model for the self-organization of synaptic inputs onto dendritic branches of pyramidal cells. The model combines a generic stochastic rewiring principle with a simple synaptic plasticity rule that depends on local dendritic activity. In computer simulations, we find that this synaptic rewiring model leads to synaptic clustering, that is, temporally correlated inputs become locally clustered on dendritic branches. This empirical finding is backed up by a theoretical analysis which shows that rewiring in our model favors network configurations with synaptic clustering. We propose that synapti

SUBMITTER: Limbacher T 

PROVIDER: S-EPMC7424032 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature