Master Biologie Santé parcours computational neurosciences and neuroengineering - 2ème année

Objectifs

One of the greatest challenges of modern science is to understand how the brain processes information in order to imitate its computing and learning capabilities (Artificial Intelligence, neuromorphic electronic circuits, machine learning,...) and to compensate the brain failures with computational and technological tools (Closed-Loop Neurosciences, Brain Computing Interface,...). Thus, the Computational Neurosciences and Neuroengineering Master aims to train students to face problems raised by brain perception, processing and transmission of information. The training program is based on experimental, computational and theoretical approaches, combining neurosciences, physics, applied mathematics and computer sciences at different scales (cell,network, behaviour) and different organizational levels (micro, meso- and macroscopic scales). Thanks to the reputation of the laboratories and research teams involved, the Master degree offers a very high level courses programme with a high international visibility.