Perspectives on Applications of a Stochastic Spiking Neuron Model to Neural Network Modeling

This talk presents results of analytical and numerical investigations on the use of the Galves-Löcherbach stochastic neuron to model networks of spiking neurons. The work is done in collaboration with NeuroMat researchers Dr. Ludmila Brochini, Dr. Ariadne Costa, Dr. Miguel Abadi, Dr. Jorge Stolfi, Dr. Osame Kinouchi and students Renan Shimoura and Vinícius Cordeiro.Presented.

Author: Antonio C. Roque.

Presented at Perspectives in Nonlinear Dynamics conference, Berlin, July 26, 2016.

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