The recently established Research, Innovation and Dissemination Center on Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation) is offering technical training scholarships for Computer Science/Engineering professionals interested in applying their Computing experience on a world class scientific project. This project aims to integrate modeling with basic and applied research at the frontier of neuroscience. The goal of the project is to develop a mathematical and computational framework leading to the theoretical understanding of neural systems, fully integrated with experimental research in neuroscience. New models, theories, and open source software will be developed to handle the huge quantity of data produced by current experimental research and to provide a conceptual framework for the multiscale aspects of neural phenomena. The recipient will interact with researchers from University of São Paulo and other NeuroMat collaborating institutions in supporting activities for the research activities of the center, including obtaining electrophysiological signals (such as EEG, TMS and EMG) in experimental sessions, and signal data conditioning and analysis.
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.
NeuroMat released at the end of September the First Report of Activities. This document is required by the São Paulo Research Foundation (FAPESP), the funding entity of the Research, Innovation and Dissemination Center for Neuromathematics (CEPID NeuroMat), and presented detailed accounts of scientific, dissemination and technology-transfer activities.
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.
Allen, P.; Böttcher, J.; Kohayakawa, Y. and Person Y.
