CY cognition series of seminar
Viktor Jirsa, Directeur de l’Institut de Neurosciences des Systèmes (INS) à Marseille: *When Causality meets Inference: complexity in neuroscience
Abstract: Neuroscience is home to concepts and theories with roots in a variety of domains including information theory, dynamical systems theory, and cognitive psychology. Not all of those can be coherently linked, some concepts are incommensurable, and domain-specific language poses an obstacle to integration. Still, conceptual integration is a form of understanding that provides intuition and consolidation, without which progress remains unguided. This talk is concerned with the integration of deterministic and stochastic processes within an information theoretic framework, linking information entropy and free energy to mechanisms of emergent dynamics and self-organization in brain networks. We identify basic properties of neuronal populations leading to an equivariant matrix in a network, in which complex behaviors can naturally be represented through structured flows on manifolds establishing the internal model relevant to theories of brain function. The emergent perspective links concepts of symmetry and network theory and is illustrated along examples of healthy aging and epilepsy.