Autonomous emergence of connectivity assemblies via spike triplet interactions.

ABSTRACT: Non-random connectivity can emerge without structured external input driven by activity-dependent mechanisms of synaptic plasticity based on precise spiking patterns. Here we analyze the emergence of global structures in recurrent networks based on a triplet model of spike timing dependent plasticity (STDP), which depends on the interactions of three precisely-timed spikes, and can describe plasticity experiments with varying spike frequency better than the classical pair-based STDP rule. We derive synaptic changes arising from correlations up to third-order and describe them as the sum of structural motifs, which determine how any spike in the network influences a given synaptic connection through possible connectivity paths. This motif expansion framework reveals novel structural motifs

SUBMITTER: Montangie L 

PROVIDER: S-EPMC7239496 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature