NeuroMat's dissemination team members have led the project "Connecting Science and Public Schools," which involved the organizing of scientific projects in four public schools in São Paulo. The video was produced by Ivanir Ferreira, from USP Online, and published on November, 27. The original posting is available here.
The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)'s development team has released two tutorials pertaining to the ongoing project of an open-source tool to manage clinical data gathered in hospitals and research institutions, the Neuroscience Experiments System (NES). Tutorial 1 brings up information on how to create a survey using LimeSurvey, an online tool that is consistent to NES, whereas Tutorial 2 shows how to integrate a LimeSurvey document onto NES. (In Portuguese; English version to be released.)
Five videos of the First NeuroMat Young Researchers Workshop, that occurred on May, 5-7, 2015, at the University of São Paulo. Streaming was made available by IPTV-USP. Videos in English. More on the meeting, including list of speakers and presentation slides, here.
NeuroMat, the Research, Innovation and Dissemination Center for Neuromathematics, at the University of São Paulo, held from May, 5 to 7 May, its 1st Meeting of Young Researchers. The goal was to bring together several initiatives to develop a mathematical theory of the brain and to stimulate the creation of interdisciplinary working groups among scientists from various universities. In addition to presentations of research involving areas of mathematics, statistics, neuroscience and medicine, the event also had tutorials and activities with the use of Wikipedia as a way to disseminate science. The video was produced by Aline Naoe, from USP Online, and published on May, 8. As of May 11, the video remained at the front page of the University of São Paulo's website. The original posting is available here.
How to build a mathematical model of neural functioning? Such model must be simple enough to allow higher-level analysis and still present most relevant qualitative features we observe of systems of neurons. This presentation at the 37th Conference on Stochastic Processes and their Applications, Buenos Aires, July 2014, rests upon: Galves, A., & Löcherbach, E. (2013). Infinite Systems of Interacting Chains with Memory of Variable Length—A Stochastic Model for Biological Neural Nets. Journal of Statistical Physics, 151(5), 896-921 (here). Lecturer: Prof. Antonio Galves, NeuroMat.