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DTSTART:20240310T070000
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DTSTART:20241103T060000
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DTSTART;TZID=America/Toronto:20250306T153000
SEQUENCE:0
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URL:https://uwaterloo.ca/centre-for-theoretical-neuroscience/events/ctn-sem
 inar-eva-dyer
LOCATION:E5 - Engineering 5 200 University Avenue West Waterloo ON N2L 3G1 
 Canada
SUMMARY:CTN Seminar Eva Dyer
CLASS:PUBLIC
DESCRIPTION:Prof. 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 Shared Structure
  in\nBrain Function\n\nThe brain is incredibly complex\, with diverse func
 tions that emerge\nfrom the coordinated activity of billions of neurons. T
 hese functions\nvary across brain regions and adapt dynamically as we enga
 ge in\ndifferent tasks\, process sensory information\, or generate behavio
 r.\nYet\, each neural recording captures only a small glimpse of this\nimm
 ense complexity\, offering a limited view of the broader system.\nThis mot
 ivates the need for an algorithmic approach to stitch together\ndiverse da
 tasets\, integrating neural activity across brain regions\,\ncell types\, 
 and individuals. In this talk\, I will present our work on\nbuilding scala
 ble models pretrained on a broad corpus of neural\nrecordings. Our finding
 s demonstrate positive transfer across tasks\,\ncell types\, and individua
 ls\, effectively bridging gaps between\nisolated studies. This unified fra
 mework opens new possibilities for\nneural decoding\, brain-machine interf
 aces\, and cross-species\nneuroscience\, offering a path toward more gener
 alizable models of\nbrain function.
DTSTAMP:20260405T073404Z
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