NES - NeuroMat - Browser-based data collection

NES, from NeuroMat, is an open-source tool to manage clinical data gathered in hospitals and research institutions. Here’s their github link. More info from the lab. Labrigger, 02/05/2015.

Modeling networks of spiking neurons as interacting processes with memory of variable length

Antonio Galves, Eva Löcherbach

The virtuous cycle of research, communication and education: an interview with Prof. Antonio Carlos Roque

The Research, Innovation and Dissemination Center for Neuromathematics (CEPID NeuroMat) has ripened its education, culture and communication strategy. A meeting at the University of São Paulo on January, 27, 2015, brought together NeuroMat’s scientific dissemination team as well as Prof. Ernst Hamburger, Prof. Lisbeth Cordani, Prof. Annie Vialà, Prof. Antonio Galves, Prof. André Frazão Helene and Prof. Antonio Carlos Roque. The latter has assumed a leading role in devising NeuroMat’s dissemination strategy.

NeuroMat scientific dissemination to emphasize new media technologies

New technologies have been an especially significant means of disseminating results and outcomes of the FAPESP’s Research, Innovation and Dissemination Center for Neuromathematics (CEPID NeuroMat). The NeuroMat scientific dissemination team has been involved in media production in wiki frameworks —those related to the Wikimedia Foundation— and social media, especially through a NeuroMat page on Facebook. These media venues are part of what has been called “Web 2.0 services,” a set of sites that allow and encourage interaction and collaboration, thus potentially fostering the emergence of an active community around Neuromathematics and pertaining topics.

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.

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