Computational Neuroscience: New Trends and challenges for the 2030

January 18th, 2017

Museo Naval de Valparaíso

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09:00              Welcome

09:30              Albert Compte, IDIBAPS August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
                       Activity-based and synaptic-based memories in prefrontal cortex during spatial working memory

10:00              Alain Destexhe, Centre National de la Recherche Scientifique (CNRS), France.
                       Propagating waves and their collisions in visual cortex

10:30              Bruno Cessac, INRIA Sophia-Antipolis, France.
                       Handling the spatio-temporal correlations in neuronal systems


11:00              Coffee Break


11:30              Laurent Perrinet, Institut de Neurosciences de la Timone Marseille, France.
                      Back to the present: how neurons deal with delays

12:00              Nelson Trujillo, University of Manchester, UK
                      Identification of switching brain networks using mixtures of linear dynamical systems

12:30              Tatyana Sharpee, Salk Institute, California, USA
                       Theoretical principles for understanding biological complexity


13:00              Break (lunch on your own)


14:30              Patricio Orio, Universidad de Valparaíso.
                      Is chaos making a difference? Synchronization transitions in chaotic neural oscillators.

15:00              Frederique Alexandre, Institute of Neurodegenerative Diseases, Bordeaux, France
                      What Computational Neuroscience can offer to Machine Learning : Autonomous Learning

15:30              Wael El-Deredy, Universidad de Valparaíso
                      Frequency-dependent plasticity


16:00              Coffee Break


16:30              Open discussion: Challenges for the 2030

17:30              Final words and Farewell

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