Neuroscience Seminar Series

We are delighted to announce our next Neuroscience Seminar Series talk. Presentations by experts in their field will take place both here at MPINB and via Zoom.

"Inferring generative dynamical systems models from multimodal, multiscale, and multi-animal neuroscientific data"

Daniel Durstewitz - University of Heidelberg

Abstract

Any biological system that is described by quantities that evolve in time and space is naturally formalized as a dynamical system. For decades dynamical systems theory played a pivotal role in theoretical and computational neuroscience, as it links biophysical and biochemical processes to neural computation. In fact, dynamical systems are computationally universal. Rather than hand-crafting computational theories of neural function based on dynamical systems, recent developments in scientific machine learning (ML) and AI suggest that we may be able to infer such dynamical-computational models directly from neurophysiological and behavioral observations. In my talk I will cover recent ML/AI architectures, training algorithms, and validation procedures toward this goal. I will discuss specifically how recent AI architectures can integrate neuroscience data from multiple modalities (like multiple single-unit recordings and behavioral choices), across diverse time scales, and across many different animals and task designs, into a joint dynamical systems model, providing steps into the direction of AI foundation models for neuroscience.

In-Person

MPINB Lecture Hall, Ludwig-Erhard-Allee 2, 53175 Bonn

Zoom

https://mpinb-mpg-de.zoom.us/j/63767300567
Meeting-ID: 637 6730 0567

To the overview