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SUMMARY:Cognitive brain imaging in the age of AI - Bertrand Thirion (INRIA
 )
DTSTART:20260211T090000Z
DTEND:20260211T100000Z
UID:TALK242323@talks.cam.ac.uk
DESCRIPTION:Brain imaging helps us to understand how the brain works\, as 
 well as psychiatric and neurological pathologies. The development of non-i
 nvasive imaging\, notably MRI\, and the creation of large databases over t
 he last decade have provided an opportunity to improve our understanding o
 f the brain through imaging. In this context\, machine learning has made i
 t possible to create powerful representations of the data\, and then\, in 
 a second stage\, to confront brain imaging with the rich semantics describ
 ing an individual's behavior and pathologies. We will present the key stag
 es in these advances\, based on our own work.However\, artificial intellig
 ence offers a particular opportunity to understand brain function: it prov
 ides models of cognition\, sometimes inspired by brain function. This is p
 articularly the case in two key areas: vision and language\, where AI has 
 scored its greatest successes over the past decade. We will show how compa
 ring the internal representations of AI models with brain activity provide
 s a deeper understanding of brain function\, as well as the limits of this
  understanding.
LOCATION:Seminar Room 1\, Newton Institute
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