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Modeling Human Brain Function with Artificial Neural Networks
Our lab has as its mission to uncover the theoretical principles and neurobiological substrates that mediate adaptive behavior. To this end, we combine computational modeling which has its roots in artificial intelligence with empirical research where we measure the brain at work in naturalistic settings. In this talk I will put forward the notion that artificial neural networks provide cognitive neuroscientists with an ideal framework for modeling cognitive processes. Our results show that artificial neural networks accurately predict neural response patterns as the brain is engaged in challenging cognitive tasks, providing a new window on the neural implementation of such tasks. I will close with some thoughts on recent developments in this emerging area of research.
Date:
11 July 2016, 14:00
Venue:
University Department of Psychiatry Warneford Hospital Oxford OX3 7JX UK
Speaker:
Professor Marcel van Gerven (RU Nijmegen)
Organising department:
Oxford Centre for Human Brain Activity
Organiser:
OHBA (University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Darren Barber
