Video: Infinite systems of interacting chains with memory of variable length

Models of neural systems should be biologically plausible and statistically efficient. This presentation at the "Summer School on 'Physics and Neuroscience'", at Natal, Brazil, August 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. Lecturer: Prof. Antonio Galves, NeuroMat.

 

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The Research, Innovation and Dissemination Center for Neuromathematics is hosted by the University of São Paulo and funded by FAPESP (São Paulo Research Foundation).

 

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