The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) has sustained an ongoing project for the development of new strategies of transcranial magnetic stimulation (TMS). This project involves the development of several tools and equipments, and is mostly informed by basic questions on how to model brain functioning.
The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) released its sixth report of activities in August. The report comprises activities in research, innovation and dissemination from January to August, 2019. The RIDC NeuroMat was created in 2013 by the São Paulo Research Foundation (FAPESP) and is coordinated by Antonio Galves.
The Neuroscience Experiments System (NES) is a by-product of the technology-transfer team of FAPESP's Research, Innovation and Dissemination Center for Neuromathematics. An open-source tool, it is used to manage clinical data gathered in hospitals and research institutions. It is also a relevant resource for reproducible science.
The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) will launch in August the podcast "A Matemática do Cérebro" --in Portuguese, Mathematics of the Brain. This resource will be available on the most important podcast technologies and also hosted on its own website. The production of the podcast is led by NeuroMat director Antonio Galves and the newest member of the RIDC, Eduardo Vicente, from the University of São Paulo School of Communications and Arts.
A recent NeuroMat paper has addressed the conjecture that the brain identifies structures from sequences of stimuli. It means that in order to make predictions the brain analyzes structured sequences of stimuli and retrieves from them statistical regularities. This classical conjecture is often called "Statistician Brain Conjecture" and is associated to studies on how one learns. The NeuroMat research team has introduced a new class of stochastic processes --sequences of random objects driven by chains with memory of variable length-- to address this conjecture.
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