Title: Modeling sequential retrieval of learned patterns in the brain
Abstract: Working memory and cognitive processes require versatile ability of the brain to generate sequences of learned patterns. According to Hopfield’s theory learned patterns are stable states of the neural network with synaptic connections resulting from the learning process. I will discuss how sequential dynamics can nevertheless occur and introduce a biologically inspired model that allows for a rigorous analysis of this phenomenon.
Bio:
- Director of the Complex Systems Academy, University Nice Côte d’Azur, from 2016 to 2017.
- Member of the Comité National de la Recherche Scientifique (Mathematics) until July 2000.
- Adjoint director of the Institut d’Etudes Scientifiques de Cargèse,
- Scientific counsellor at the French Embassy in New Delhi, from September 2001 to August 2005.
- Director of the Centre International de Rencontres Mathématiques (International Center for Mathematical Meetings, Luminy) from September 2005 to August 2010.
- Deputy Scientific Director of Institut des Mathématiques et leurs Interactions of CNRS, from 2009 to 2012.
- Director of the Fédération W. Döblin, FR 2800 CNRS-UNS, since September 2012.
- Member of the Steering Board of the Indo-French Centre in Applied Mathematics.