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Plasticity, activity, and computation in neuronal networks

Authors: Gabriel Ocker

Presentation type: Invited talk at SNUFA 2023 online workshop (7-8 Nov 2023)


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.

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