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.
Three videos on Prof. Christophe Pouzat's training on spike sorting, that occurred on November, 25-27, 2014, at the University of São Paulo. Streaming was made available by IPTV-USP. Videos in English.
A short movie on the combining of neuroscience and mathematics, NeuroMat's cornerstone, has been released. This movie was produced by the Pesquisa Fapesp crew, in May 2014. The video is in Portuguese, with English subtitles.
