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

Antonio Galves, Eva Löcherbach

We consider a new class of non Markovian processes with a countable number of interacting components, both in discrete and continuous time. Each component is represented by a point process indicating if it has a spike or not at a given time. The system evolves as follows. For each component, the rate (in continuous time) or the probability (in discrete time) of having a spike depends on the entire time evolution of the system since the last spike time of the component.

NES - NeuroMat - Browser-based data collection

NES, from NeuroMat, is an open-source tool to manage clinical data gathered in hospitals and research institutions. Labrigger, 02/05/2015.

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).

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. 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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