Learning & Dynamics Seminars : Dr Richard Gao (University of Tübingen)

The “Learning & Dynamics” Seminar Series wishes to address - roughly defined - how one may analyse & discover physically-interpretable models of dynamical systems on the basis of observed temporal data, rather than attempt to study them in a purely analytical manner. Our seminar aims to address interdisciplinary applications across complex physical or physiological systems, such as neuroscience, non-linear optics or fluid mechanics

We are delighted to welcome Dr. Richard Gao, Tübingen University (Germany) Thursday 17 April - 2.00 P.M. for a seminar entitled  : "Accelerating discovery of data-driven models and theories of neural dynamics".

Abstract :  How does cognition emerge from the complex interaction of biological elements in the brain? Neural dynamics offers a potential bridge between structure and function, where population activity is shaped by a variety of circuit properties and harnessed for computations at multiple timescales. In dissecting these relationships, we are now amassing brain measurements at an unprecedented scale. But while artificial intelligence excels at uncovering associations in large datasets, how AI can complement and advance mechanistic theories of neural dynamics remains an open question. In this talk, I outline how recent developments in AI—in particular, probabilistic generative models and sequence models—can help link neural dynamics with structure and function. [...]

Informations, contact : JJ Aucouturier, FEMTO Neuro Group

More information & program