Deep learning in the brain
27 May | 3.30 pm – 5.30 pm | Amsterdam Public Library (OBA), Oosterdokskade 143, 1011 DL Amsterdam
Researchers have proposed that deep learning, which is providing important progress in a wide range of high-complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning in artificial neural networks are biologically unrealistic and need to be replaced by biologically realistic counterparts. Four scientists will provide new insights into how deep learning can be implemented in the brain.
Pieter Roelfsema, Director of the Netherlands Institute for Neuroscience and Professor of Cognitive Neuroscience at the University of Amsterdam
Biologically plausible deep learning rules in the brain
David Cox, Director, MIT-IBM Watson AI Lab, IBM Research AI, Cambridge Research Center, Cambridge, United States
Predictive Coding Models of Perception
Marcel van Gerven, Professor of Artificial Cognitive Systems, Principal Investigator – Donders Institute for Brain, Cognition and Behaviour
Neural system identification
George Dileep, AI and neuroscience researcher and founder of Vicarious
Understanding cortical microcircuits by building machines that generalize like the brain
More information can be found here.