Neural population dynamics and latent representations

Abstract

In recent years, the study of neural population dynamics has gained growing traction in systems and computational neuroscience, offering a principled framework to link single-neuron activity with behaviorally relevant computation. During the symposium, we will discuss recent machine learning and theoretical advances for analyzing population-level activity and explore how emergent network properties can reveal mechanistic principles of cognition and behavior, with translational implications for clinical neuroscience.

Speakers

• Lorenzo Gaetano Amato - Sant’Anna School of Advanced Studies, Pisa, IT
• Demian Battaglia - University of Strasbourg, FR
• Daniel Durstewitz - Central Institute for Mental Health, Mannheim, DE
• Tatiana A. Engel - Princeton University, Princeton, USA
• Sean Froudist-Walsh - University of Bristol, Bristol, UK
• Matthieu Gilson - Institut des Neurosciences, Marseille, FR
• Maurizio Mattia - Istituto Superiore di Sanità, Roma, IT
• Leonardo Pollina - École Polytechnique Fédérale de Lausanne, Lausanne, CH
• Sara Solla - Northwestern University, Evanston, USA

More information: https://neurobridge-tne.github.io/