First NeuroMat Workshop - slides

Jan 21, 2014

Slides of the First Workshop of FAPESP's Center for Neuromathematics

Monday 20 January

• Statistical mechanics – Roberto Fernández, Utrecht
• Neurons and single-unit recording – Sidarta Ribeiro, UFRN
• Chains with memory of variable lengths – Karina Yuriko Yaginuma, USP
• Random graphs – Yoshiharu Kohayakawa, USP
• The scientific project of NeuroMat – Antonio Galves, USP
• A stochastic model for biological neuronal nets – Eva Löcherbach, Cergy-Pontoise
• A system of interacting neurons stops spiking without external stimuli – Aline Duarte de Oliveira, USP

Tuesday 21 January

• NeuroMat technology transfer, open source software, and open data – Fabio Kon, USP
• Fast generation of context tree models – Arnaldo Mandel, USP
• Rich-club organization of the human connectome – Martijn van den Heuvel, Utrecht
• EEG / ECoG – Guillermo Cecchi, IBM
• DTI, fMRI – Fátima Erthal, UFRJ
• Brain plasticity – Felipe Fregni, Harvard
• Development of NeuroMat open databases – Kelly Rosa Braghetto, USP
• General issues and the experience of constructing a clinical database in a university hospital – Cláudia Domingues Vargas, UFRJ

Wednesday 22 January

• Sandpiles on Epileptic Brain – Abner Rodrigues, USP
• Predictors of Motor Recovery – Marcel Simis, IRLM
• Stochastic modeling of behavioral data – André Frazão Helene, USP
• Stochastic modeling of neurophysiological and behavioral data: attention and decision making in rats – Gilberto Xavier, USP

Thursday 23 January

• Visually Driven Functional Networks in the Brain – Cláudia Domingues Vargas, UFRJ
• Statistical analysis of random graphs applied to neuroscience – Florencia Leonardi, USP
• Processing Multielectrode EEG Signals – Jorge Stolfi, UNICAMP
• Pydio: A powerful file-sharing platform – Carlos Eduardo Ribas, USP

Friday 24 January

• Dynamical Criticality: Theory and Application to ECoG – Guillermo Cecchi, IBM
• How do epileptic seizures begin? The contribution of brain-state transitions – Claudio Queiroz, UFRN
• Statistical inference for time varying networks – Roberto Imbuzeiro Oliveira, IMPA
• Classifying EEG data driven by rhythmic stimuli – Guilherme Ost, USP
• From the intrinsic properties to the functional role of a neuron phenotype – Angel Caputi, IIBCE

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