Newsletter #63

NeuroMat

Research, Innovation and Dissemination Center for Neuromathematics

Newsletter - Nº 63 | May 2019

A mathematical object for retrieving the structure of stimuli in EEG data

A recent NeuroMat paper has addressed the conjecture that the brain identifies structures from sequences of stimuli. It means that in order to make predictions the brain analyzes structured  sequences of stimuli and retrieves from them statistical regularities. This classical conjecture is often called "Statistician Brain Conjecture" and is associated to studies on how one learns. The NeuroMat research team has introduced a new class of stochastic processes --sequences of random objects driven by chains with memory of variable length-- to address this conjecture.

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NeuroMat is a research center established in 2013 at the University of São Paulo that is dedicated to integrating mathematical modeling and theoretical neuroscience. Among the core missions of NeuroMat are the creation of a new mathematical system to understanding neural data and the development of neuroscientific open-source computational tools. The research center is headed by Prof. Antonio Galves, from USP's Institute of Mathematics and Statistics, and is funded by the São Paulo Research Foundation (FAPESP). To receive monthly updates on NeuroMat's work or pertaining news, please subscribe to NeuroMat's newsletter.

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Previous issues of the NeuroMat Newsletter (features)

Newsletter #62

Newsletter #61

Newsletter #60

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