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Telefone/Fax: (16) 3412-9752 / e-mail: sbmac@sbmac.org.br
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ICTP-SAIFR - School on Complex Networks and Applications to Neuroscience
De 28 de Setembro a 16 de Outubro de 2015
ICTP-SAIFR School on Complex Networks and Applications to Neuroscience
Start time: September 28, 2015
Ends on: October 16, 2015
Location: São Paulo, Brazil
Venue: IFT-UNESP
Organizers/Lecturers:
Stefano Boccaletti (CNR- Institute of Complex Systems €“ Florence -Italy, and the Italian Embassy in Israel): The Master Stability Function
Javier M. Buldú (Center for Biomedical Technology & U.R.J.C., Madrid, Spain): Applications to Biology: from RNA to Brain Networks
Hilda Cerdeira (Instituto de Física Teórica, UNESP, São Paulo, Brazil)
Jesús Gómez Gardeñes (Universidad de Zaragoza, Spain): Dynamical processes in networks
Claudio Mirasso (IFISC, Universitat de les Illes Balears, Spain): Synchronization in brain circuit models
Antonio Roque (Universidade de São Paulo at Ribeirão Preto, Brazil): An overview of single-cell and neural network models
Invited lecturers:
Edson Amaro Jr (Hospital Israelita Albert Einstein, Brazil): Neuroimages techniques and mental illnesses
Michael Breakspear (QIMR Berghofer Medical Research Institute, Australia): Inferring large-scale dynamics from brain models
Mauro Copelli (Universidade Federal de Pernambuco, Brazil): Collective neuronal phenomena
Ernesto Estrada (University of Strathclyde, U.K.): Structure of Complex Networks: From Graphs to Real Networks
Luciano Fontoura (Universidade de São Paulo at São Carlos, Brazil): TBA
Sandro Meloni (BIFI, Universidad de Zaragoza, Spain): Applications to Social Networks
Vincenzo Nicosia (Queen Mary University of London, UK): Multilayer Networks
Adriano Tort (Universidade Federal do Rio Grande do Norte, Brazil): Detecting and tracking cell assemblies
Raúl Vicente (University of Tartu, Estonia): Analysis of neuronal data
Description:
The School on Complex Networks and Applications to Neurosciences will cover theoretical aspects and current trends in the Theory of Complex Networks including their structural properties, dynamical processes, and multiplex networks with applications to social, technological and biological systems. The second half of the school will provide a detailed course on Neurosciences focused on the physiology of the cell and neuronal models, time series analysis and characterization, complex brain networks, collective phenomena and information processing in the brain, and neuroimage techniques and mental diseases. There is no registration fee and limited funds are available for local and travel support of participants.
This school is part of the topics in Nonlinear Science: Fundamentals and Applications.