DATAIA Seminars | «Can current neural networks provide a satisfactory model of the human brain?» - Stanislas Dehaene
Stanislas Dehaene (Collège de France) is leading the DATAIA seminar of January on «Can current neural networks provide a satisfactory model of the human brain?»
I will argue that, in spite of their major recent successes, both in solving real-world problems and in predicting brain responses in human and non-human primates, most current neural networks are essentially limited. The human brain keeps the upper hand in its ability to (1) learn from a very small number of examples, sometimes a single trial, using Bayesian-style reasoning (“the child as a scientist”); (2) discover compact, abstract, explicit representations of knowledge, in a form which can be shared with others; (3) learn from others and learn with others; (4) learn compositional representations in a “language of thought”. I will describe extremely simple experiments in which the human brain acquires information in a single trial and represents its in a quasi-linguistic form, which is currently hard to capture with present-day neural networks.
The webinar will take place on January 13th at 16.00 and it will be live broadcasted.
It is recommended to use Google Chrome, Firefox, or the BlueJeans app (https://www.bluejeans.com/downloads) to join the webinar.
Don't miss out any new announcement about a new DATAIA seminar!
Subscribe to the DATAIA seminars mailing-list by clicking here