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URL:/centre-for-theoretical-neuroscience/events/ctn-sem
 inar-eva-dyer
SUMMARY:CTN Seminar Eva Dyer
CLASS:PUBLIC
DESCRIPTION:Summary \n\nProf. Eva Dyer (home page\n[https://bme.gatech.edu/
 bme/faculty/Eva-Dyer]) will present on her\nwork on Thursday\, March 6\, 3
 :30 p.m. in E5 2004.\n\nScaling Up Neural Data Pretraining to Uncover Shar
 ed Structure in\nBrain Function\n\nThe brain is incredibly complex\, with 
 diverse functions that emerge\nfrom the coordinated activity of billions o
 f neurons. These functions\nvary across brain regions and adapt dynamicall
 y as we engage in\ndifferent tasks\, process sensory information\, or gene
 rate behavior.\nYet\, each neural recording captures only a small glimpse 
 of this\nimmense complexity\, offering a limited view of the broader syste
 m.\nThis motivates the need for an algorithmic approach to stitch together
 \ndiverse datasets\, integrating neural activity across brain regions\,\nc
 ell types\, and individuals. In this talk\, I will present our work on\nbu
 ilding scalable models pretrained on a broad corpus of neural\nrecordings.
  Our findings demonstrate positive transfer across tasks\,\ncell types\, a
 nd individuals\, effectively bridging gaps between\nisolated studies. This
  unified framework opens new possibilities for\nneural decoding\, brain-ma
 chine interfaces\, and cross-species\nneuroscience\, offering a path towar
 d more generalizable models of\nbrain function.\n 
DTSTAMP:20250615T065828Z
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