Infinite systems of interacting chains with memory of variable lengths

How to build a mathematical model of neural functioning? Such model must be simple enough to allow higher-level analysis and still present most relevant qualitative features we observe of systems of neurons. This presentation at the 37th Conference on Stochastic Processes and their Applications, Buenos Aires, July 2014, rests upon: Galves, A., & Löcherbach, E. (2013). Infinite Systems of Interacting Chains with Memory of Variable Length—A Stochastic Model for Biological Neural Nets. Journal of Statistical Physics, 151(5), 896-921 (here). Lecturer: Prof. Antonio Galves, NeuroMat.

The original conference website is here.

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