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Pixabay by Gerd Altmann

Neuroscience and Artificial Intelligence

Satellite Workshop at the International Virtual Meeting NeuroFrance 2021
When May 18, 2021
from 08:55 AM to 04:30 PM
Where International Virtual Meeting Strasbourg
Contact Name
Contact Phone +49 (0)761 203-9316
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Registration required

Please register [here]


Organizers

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


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
Modeling the world with brains and machines
16:45 end of workshop

 

Registration required: please register [here]

NeuroFrance2021
International Virtual Meeting NeuroFrance 2021  NeurexEU Development Fund

 

Image: Gerd Altmann | Pixabay

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