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SUMMARY:BMI Seminar // Chris Summerfield: Learning and Decision Making in 
 Humans and Models
DTSTART:20250501T140000
DTEND:20250501T150000
DTSTAMP:20260609T132844Z
UID:29926b237f8433bc31517252bd07f9beadbc721344fb05f928301d7a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Chris Summerfield\, Universitiy of Oxford\, UK\nNeural network
 s have been proposed as theories of perception and cognition. However\, mo
 st studies have focused on comparing representations in biological and art
 ificial learners once learning is complete. Here\, I will describe three p
 rojects in which we study the dynamics of learning\, and sensitivity to tr
 aining curricula\, in humans and neural networks. In the first project\, w
 e understand why humans learning to integrate multiple pieces of informati
 on benefit from a 'divide and conquer' strategy\, and use a neural network
  to design a curriculum that successfully accelerates human learning. In t
 he second project\, I show how humans and neural networks have remarkably 
 similar patterns of transfer and interference during continual learning. I
 n the final project\, I show how humans and transformer networks have very
  similar sensitivity to the data diet on which they are trained.
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://epfl.zoom.u
 s/j/64813563657
STATUS:CONFIRMED
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