Marco A. C. Garcia, João M. Y. Catunda, Marcio N. de Souza, Ana Paula Fontana, Sandro Sperandei, Claudia D. Vargas
News
| Jan 18, 2016
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.
Eight videos of the Random Graphs in the Brain workshop, that occurred on Nov, 23-27, 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.
Full text in Portuguese.
