Bernstein Satellite Workshop "Neuroscience and Artificial Intelligence"

Workshop within the International Virtual Meeting NeuroFrance 2021

When	May 18, 2021 from 08:55 AM to 04:45 PM
Where	International Virtual Meeting Strasbourg
Contact Name	Stefan Rotter
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Neuroscience and Artificial Intelligence

Satellite workshop within NeuroFrance 2021

Organizers

Stefan Rotter & Ulrich Egert
Bernstein Center Freiburg
University of Freiburg, Germany

Registration required

Please register here

Synopsis

Learning and memory in biological brains are the result of plasticity and adaptivity at the level of cells and synapses. Although it is largely unknown how the underlying processes are coordinated and controlled at the level of brain networks, the fascinating efficiency of biological brains has long inspired research in artificial intelligence. New engineering applications of bio-inspired strategies and sophisticated algorithms combined with massive computational resources have produced learning machines with unprecedented performance. Can engineers learn from biology how to make these algorithms more resource-efficient and robust? What can biological research learn from the impressive advances in Big Data technology? Can novel applications of these algorithms advance research in neuroscience?

Detailed Program [pdf]

Schedule

08:55	welcome
09:00	Xiao-Jing Wang Center for Neural Science, NYU, USA Artificial intelligence needs the prefrontal cortex
09:45	Klaus-Robert Müller Machine Learning Group, TU Berlin, Germany Decoding and analysing brain data using machine learning
10:30	coffee break
10:45	Viktor Jirsa Institut de Neurosciences des Systèmes, Aix-Marseille Université, France Virtual Brain modeling in clinical applications for personalised medicine
11:30	Srdjan Ostojic Laboratoire de Neurosciences Cognitives & Computationelles, ENS, Paris, France Using Recurrent Neural Networks to understand mechanisms of neural computations
12:15	lunch break
13:30	Julian Göltz, Walter Senn Petrovici Lab, Physics, U Heidelberg, Germany \| Senn Lab, Physiology, U Bern, Switzerland Fast and deep: energy-efficient neuromorphic learning with first-spike times
14:15	Claudia Clopath Imperial College London, UK Neural manifold under plasticity in a goal driven learning behaviour
15:00	coffee break
15:15	Joschka Bödecker Neurorobotics, U Freiburg, Germany Reinforcement learning for optimizing and understanding neuronal systems
16:00	Matthias Bethge Computational Neuroscience & Machine Learning, U Tübingen, Germany Learning to see like humans
16:45	end of workshop