NeuroMat investigates how much time a brain takes to make a decision

On May 15, the member of the Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat) André Frazão Helene and colleagues published "On Sequence Learning Models: Open-loop Control Not Strictly Guided by Hick’s Law", on Scientific Reports, a journal of Nature's group. "The meaning is that the nervous system, relying on past experiences, generates predictions on what will happen in the future," the researcher explained. Report by Tabita Said, Jornal da USP, 5/23/2016. (In Portuguese).

Research Center on Neuromathematics collaborates with Wikipedia to disseminate science

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), one of FAPESP's RIDCs, has launched a task force to improve content on Wikipedia pertaining to brain science. The task force brings together journalists and scientists who collaborate to edit entries and add up-to-date information on Neuromathematics. Report by Diego Freire, Agência FAPESP, 5/9/2016. (In Portuguese).

Using mathematics to translate the brain

The creation of mathematical models to represent how complex networks work and to predict their behavior is a major challenge for scientists in several fields. Generally speaking, such models can be classified as part of random graph theory. “Scientists around the world are using random graph models to study how the brain works, but the mathematical basis for those models isn’t as sound as it could be. We aim to develop a new mathematics language to address the problems in neurobiology,” said Antonio Galves, a professor at the University of São Paulo’s Mathematics & Statistics Institute (IME-USP) in Brazil and head of the Neuromathematics Research, Innovation & Dissemination Center (NEUROMAT), one of the Research, Innovation & Dissemination Centers (RIDCs) supported by FAPESP. Report by Karina Toledo, Agência FAPESP, 12/16/2015.

Translating the brain with mathematics

To create mathematical models that represent the dynamics of complex networks, and predict their behavior, is a major challenge for scientists from different fields. In a broader conceptual framework, these models are part of what is called the theory of random graphs. "There is a worldwide effort to use this type of tool in modeling brain function, but the mathematical basis for this endeadvor is still weak. Our goal is to develop a new mathematics, that would serve as a language to express the problems of neurobiology," said Antonio Galves, professor at the Institute of Mathematics and Statistics, University of São Paulo (IME-USP) and coordinator of the Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), one of the RIDCs that are supported by FAPESP. Report by Karina Toledo, Agência FAPESP, 12/1/2015. (In Portuguese)

University of São Paulo to have a cluster to simulate the functioning of cerebral cortex

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), one of the Research, Innovation and Dissemination Centers (RIDCs) funded by FAPESP, has started the development of a "supercomputer" that simulates the functioning of the cerebral cortex, a key area of the central nervous system. Report by Diego Freire, Agência Fapesp, 09/22/2015. (In Portuguese).

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