Bernstein Satellite Workshop "Neuroscience and Artificial Intelligence"
| When |
May 18, 2021
from 08:55 AM to 04:45 PM |
|---|---|
| Where | International Virtual Meeting Strasbourg |
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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?
Program
| 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 Google Research, Brain Team, Berlin | 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 |
Whole meeting
Wednesday, May 19 to Friday, May 21, 2021
More information and whole program
Image
Gerd Altmann | Pixabay