NeuroMat mathematical models yield basic clues to neural functioning

Mathematicians from the Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat) are currently working on a new class of mathematical models that could eventually lead to a general theory of the brain, a theory that could be able to explain how the neural system, consisting of billions of neurons and other cells, interacts with an ever-changing environment and generates behaviors.


Discurso sobre sonho pode ajudar no diagnóstico de doenças mentais

Técnica é capaz de auxiliar na identificação de sintomas de esquizofrenia e bipolaridade. Elton Alisson, Jornal do Brasil - 18/03/2014.

Hydrodynamic limit for interacting neurons

De Masi, A. ; Galves, A. ; Löcherbach, E. and Presutti, E. - This paper studies the hydrodynamic limit of a stochastic process describing the time evolution of a system with N neurons with mean-field interactions produced both by chemical and by electrical synapses.

Independence tests for continuous random variables based on the longest increasing subsequence

García, J. E. and González-López, V. A. - We propose a new class of nonparametric tests for the supposition of independence between two continuous random variables X and Y. Given a size n sample, let π be the permutation which maps the ranks of the X observations on the rank of the Y observations.

Modeling of acoustic signal energies with a generalized Frank copula. A linguistic conjecture is reviewed

García, J. E. and González-López, V. A. - In this paper was selected a generalized Frank copula to model the dependence between the energy on two frequency bands of the speech signal, coming from eight languages. Was developed an algorithm that uses maximum likelihood to choose the best fitting copula's parameters.




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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