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.
NeuroMat's dissemination team members have led the project "Connecting Science and Public Schools," which involved the organizing of scientific projects in four public schools in São Paulo. The video was produced by Ivanir Ferreira, from USP Online, and published on November, 27. The original posting is available here.
The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)'s development team has released two tutorials pertaining to the ongoing project of an open-source tool to manage clinical data gathered in hospitals and research institutions, the Neuroscience Experiments System (NES). Tutorial 1 brings up information on how to create a survey using LimeSurvey, an online tool that is consistent to NES, whereas Tutorial 2 shows how to integrate a LimeSurvey document onto NES. (In Portuguese; English version to be released.)
Five videos of the First NeuroMat Young Researchers Workshop, that occurred on May, 5-7, 2015, at the University of São Paulo. Streaming was made available by IPTV-USP. Videos in English. More on the meeting, including list of speakers and presentation slides, here.
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