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SUMMARY:BMI Distinguished Seminar // Martin Schrimpf: Modeling Primate Vis
 ion (and Language)
DTSTART:20231206T160000
DTEND:20231206T170000
DTSTAMP:20260510T082009Z
UID:e96ffc3ebb98401a60165b3ce453d706623b00c6d068c5ac35fa3c2a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Martin Schrimpf\, NeuroX\, EPFL\nResearch in the brain and cog
 nitive sciences attempts to uncover the neural mechanisms underlying intel
 ligent behavior. Due to the complexities of brain processing\, studies nec
 essarily had to start with a narrow scope of experimental investigation an
 d computational modeling. I will argue that it is time for our field to ta
 ke the next step: build system models that capture neural mechanisms and s
 upported behaviors in entire domains of intelligence. To make progress on 
 system models\, we are developing the Brain-Score platform which\, to date
 \, hosts over 50 benchmarks of neural and behavioral experiments that mode
 ls can be tested on. By systematically evaluating a wide variety of model 
 candidates\, we not only identify models beginning to match a range of bra
 in data (~50% explained variance)\, but also discover key relationships: M
 odels’ brain scores are predicted by their object categorization perform
 ance in vision and their next-word prediction performance in language. The
  better models predict internal neural activity\, the better they match hu
 man behavioral outputs\, with architecture substantially contributing to b
 rain-like representations. Using the integrative benchmarks\, we develop i
 mproved state-of-the-art system models that more closely match shallow rec
 urrent neuroanatomy\, predict primate temporal processing\, and are more r
 obust to image corruptions. Finally I will argue that the newest generatio
 n of models can be used to predict the behavioral effects of neural interv
 entions\, and to drive new experiments.\n\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://epfl.zoom.u
 s/j/64813563657
STATUS:CONFIRMED
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