Mathematical and computational challenges of neuroscience

Does 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.

Tight Hamilton cycles in random hypergraphs, Random Structures Algorithms

Allen, P.; Böttcher, J.; Kohayakawa, Y. and Person Y.

Data Provenance and Scientific Workflow Management

Introductory class on techniques and tools to manage scientific data, focusing on sources of information and data analysis. Lecturer: Prof. Kelly Rosa Braghetto, a NeuroMat associate investigator and a professor at the University of São Paulo's Department of Computer Science.

An elementary introduction to the stochastic modelling of symbolic chains

A class on statistical regularities and statistical model selection. Lecturer: Prof. Antonio Galves, NeuroMat principal investigator and professor at the University of São Paulo's Institute of Mathematics and Statistics.

On a toy model of interacting neurons

Nicolas Fournier, Eva Löcherbach

NeuroCineMat
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Podcast A Matemática do Cérebro
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NeuroMat Brachial Plexus Injury Initiative
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Neuroscience Experiments System
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NeuroMat Parkinson Network
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NeuroMat's scientific-dissemination blog
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