Frédéric Alexandre |
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Address: | ALEXANDRE Frédéric
MNEMOSYNE team - Inria Bordeaux Institut des Maladies Neurodegeneratives CNRS UMR 5293 - Batiment NeuroCampus 3eme etage 146 Rue Leo Saignat - CS 61292 - Case 28 33076 Bordeaux FRANCE |
Mobile: | (33/0) 6 30 38 71 94 |
Phone: | (33/0) 5 33 51 48 02 |
email: | Frederic.Alexandre@inria.fr |
Secretary: | Chrystel PLUMEJEAU (Chrystel.Plumejeau@inria.fr (33/0) 5 24 57 41 74)
Centre de Recherche Bordeaux-Sud-Ouest 200 avenue de la vieille tour Bureau B336 33405 Talence Cedex FRANCE |
Concerning computational neuroscience, I explore the structure/function relations in the brain and the links, at several levels of description, between biologically inspired neural architectures and functioning and learning principles. At the level of the population of neurons, I study adapted elementary mechanisms of neuronal functioning and learning. At the level of information flows, I design models of cerebral structures including the posterior and prefrontal cortex, cerebellum, basal ganglia, thalamus, amygdala, hippocampus with application to perceptive scene interpretation, planning and the related various aspects of memorization. A major challenge concerns exchanges of information and transfer of learning between the neuronal structures.
Concerning cognitive modeling, I am interested in adaptive behavior for autonomous robotics. My main reference frameworks are embodied cognition and enaction, and I aim at building a global model of the cognitive architecture to study how a variety of functions ranging from perceptive analysis and sensorimotor coordination to executive functions and consciousness are built by interaction with the inner (emotional) and the outer (physical) world. These studies exploit the above-mentioned neural systems but also my other fields of expertise related to machine learning, pattern recognition, data, image and signal processing and neuro-control.
Concerning neuroscience and the medical domain, I work in the Bordeaux Neurocampus and have other national and international collaborations to feed the loop of interactions, building models from data and knowledge in these domains and assessing and exploiting them for the study of neuronal mechanisms and structures, animal and human behavior and neurodegenerative diseases.
The goal of this team, at the frontier between integrative and computational neuroscience, is to model the brain as a system of active memories in synergy and in interaction with the world and to simulate it as a whole and in situation. Special emphasis is given to decision making (basal ganglia, prefrontal cortex, hippocampus) and associated pathologies. As computer scientists, we are specifically interested in large scale implementation and in robotics. As embedded in a neuroscience laboratory (IMN), we are particularly interested by tight interactions with experimental neuroscience and medicine, from the molecule to the behavior.