The Wikipedia has knowingly attracted a vast audience and henceforth has had a major impact on disseminating science. In order to improve the content of this electronic encyclopedia, the Wiki Education Foundation --a nonprofit organization which works on filling content gaps on Wikipedia-- launched in 2016 the "Year of Science" on the encyclopedia. This effort was exclusive to North America. Yet, the Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat), at USP, launched its own "Year of Science" on Wikipedia. Report by Tabita Said, Jornal da USP, 5/30/2016. (In Portuguese.)
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).
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).
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.
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)
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