The onset of data-driven mental archeology

Sidarta Ribeiro

How did human consciousness arise, in comparison with that of apes? This question has motivated many hypotheses, from psychoanalysis (Freud, 1939) and literature (Bloom, 1999) to evolutionary psychology (Dennett, 1997; Tomasello, 2014). One of the most provocative is that of Julian Jaynes (1976), who understood the question as pertaining to the cultural evolution of introspection during the first millennium BC, known as Axial Age (Jaspers, 1953).

NeuroMat develops an open-source software for the management of neuroscience experimental data

The Research, Innovation and Dissemination Center for Neuromathematics (CEPID NeuroMat) software development team released in October the first module of Neuroscience Experiments System (NES), an open-source tool to manage clinical data gathered in hospitals and research institutions.

Mathematical and computational challenges of neuroscience

Desafios matemáticos e computacionais da neurociênciaDoes the brain of a child with ADHD process information in the same way of the brain of a child with no such disorder? To develop mathematical models to make sense of meaningful differences is a key challenge of Neuromathematics. And this becomes a computational challenge, to the extent it requires the building of neuroscientific databases that take into consideration all characteristics of patients and experiments. Lecturers: Michelle Miranda and Evandro Santos Rocha, NeuroMat team members.

On a toy model of interacting neurons

Nicolas Fournier, Eva Löcherbach

We continue the study of a stochastic system of interacting neurons introduced in De Masi-Galves-Löcherbach-Presutti (2014). The system consists of N neurons, each spiking randomly with rate depending on its membrane potential. At its spiking time, the neuron potential is reset to 0 and all other neurons receive an additional amount 1/N of potential. Moreover, electrical synapses induce a deterministic drift of the system towards its center of mass. We prove propagation of chaos of the system, as N tends to infinity, to a limit nonlinear jumping stochastic differential equation.

Predicting upcoming actions by observation: some facts, models and challenges

C. D. Vargas, M. L. Rangel, A. Galves

Predicting another person's upcoming action to build an appropriate response is a regular occurrence in the domain of motor control. In this review we discuss conceptual and experimental approaches aiming at the neural basis of predicting and learning to predict upcoming movements by their observation.




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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