Random Graphs in the Brain II - 1st Session

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat) will hold the workshop “Random Graphs in the Brain II” in São Paulo, in November 18 and December 9, 2024.
This interdisciplinary event will bring together experts from neurophysiology, neuroanatomy, functional imaging, mathematics, probability, statistics, and computer science to explore innovative approaches to modeling brain connectivity and cognitive learning. Building on the 2015 workshop, "Random Graphs in the Brain II" revisits key topics such as neuronal interaction models, brain network hierarchies, and system criticality.
The 2015 workshop addressed mathematical challenges in devising models that could give a realistic sense of how neurons interact, taking into consideration the neuronal and functional dimensions of the brain, the hierarchical properties of brain connectivity and system’s criticality. This event paved the way for the ongoing research program within NeuroMat, and nine years later, the team aims to expand upon these foundational topics, discussing novel approaches to model cognitive learning and community detection within neuronal networks. Featured speakers include Peter F. Stadler, Aline Duarte, Eva Loecherbach, and more.
PROGRAM:
09:00 - 10:00 Peter F. Stadler (Leipzig University) - Cores in the Qualitative Analysis of Parameter-Rich Chemical Reaction Networks
10:00 - 11:00 André Fujita (USP) - A statistical framework for random graph models
11:00 - 12:00 Ítalo Pinto (Univ. of California, Irvine) - Symbolic dynamics of joint brain states during dyadic coordination
12:00 - 14:00 Lunch
14:00 - 15:00 Andressa Cerqueira (USP) - Recovering Communities in Networks
15:00 - 16:00 Kanika Bansai (Univ. of Maryland) - The Role of Brain Network Flexibility in Cognitive Agility
16:00 - 17:00 Claudia Vargas (UFRJ) & Florencia Leonardi (USP) - General Discussion
For more information, the event's official website is: neuromat.numec.prp.usp.br/rgbrain2.
NeuroMat is hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).