Learning generative dynamical systems models from multi-modal and multi-animal neuro-data
Video · 53 min · Apr 23, 2025
Daniel Durstewitz, Central Institute of Mental Health, Mannheim
Data-Driven Interpretable Dynamical Systems Models for Neuroscience & Psychiatry
Computational Neuroscience, Dynamical Systems, Mathematical Modeling and seminar by Manuel Brenner, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany
Hosted by Frontier Series 2026 — Örebro University and Lund University
Wednesday 14:00–15:30 Stockholm (GMT+2)
Starts in 6 days
Online
Abstract
Brain function and psychiatric symptoms evolve dynamically. Manuel Brenner presents self-learning mathematical models that infer hidden states and patterns from brain activity and behaviour. Developed within LOEWE DYNAMIC, the interpretable models connect artificial intelligence, basic neuroscience and clinical psychiatry, seeking a path from temporal-data modelling to clinical application.
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