Plasticity, activity, and computation in neuronal networks
Authors: Gabriel Ocker
Presentation type: Invited talk at SNUFA 2023 online workshop (7-8 Nov 2023)
Abstract
Slow spike timing-dependent plasticity exposes dynamical equations for network structure, driven by spike train correlations. I will review these dynamics and discuss frameworks for closing the loop between spike train statistics and synaptic plasticity in integrate-and-fire networks. Finally, I will discuss how nonlinearities in the plasticity rule or neural response allow neurons to learn to compute tensor decompositions.