Realistic modeling of large-scale networks: spatio-temporal dynamics and long-term synaptic plasticity in the cerebellum

Authors:
Egidio D'Angelo;Sergio Solinas
Affiliations:
Department of Physiology, University of Pavia, Pavia, Italy and Brain Connectivity Center, Istituto Neurologico IRCCS Fondazione C. Mondino, Pavia, Italy;Brain Connectivity Center, Istituto Neurologico IRCCS Fondazione C. Mondino, Pavia, Italy and Consorzio Interuniversitario per le Scienze Fisiche della Materia, Pavia, Italy
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

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Abstract

large-scale computational model of the cerebellum granular layer has been adapted to generate long-term synaptic plasticity in response to afferent mossy fiber bursts. A simple learning rule was elaborated in order to link the average granule cell depolarization to LTP and LTD. Briefly, LTP was generated for membrane potentials -40 mV and LTD for membrane potentials