Axis 2: Quantitative approaches to the exploration of behaviour and cognition
The diversity and richness of human and animal behaviors are the result of a complex neural code that still largely escapes us. The understanding of the major cognitive functions is largely based on the observation of behavior and mental operations in controlled laboratory situations. It is now possible to understand behavior outside the laboratory by placing individuals in real, semi-realistic or virtual reality and/or augmented reality situations.
This axis aims to propose an innovative convergence of cross-species studies on the neuro-cognitive mechanisms of perception, memory and decision making. The strategic objectives are to rationalize the regional resources around research in neuroscience and cognitive science in order to obtain a better translational match with humans and to enrich the approaches of modeling and multi-scale quantitative analysis.