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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:BCS Colloquium Series: Carsen Stringer
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260518T065459Z
UID:tag:localist.com\,2008:EventInstance_42209118193586
DTSTART:20230413T200000Z
DTEND:20230413T210000Z
DESCRIPTION:Talk Title:\nDistinct streams for supervised and unsupervised l
 earning in the visual cortex\n\nAbstract:\nRepresentation learning in neur
 al networks may be implemented with supervised or unsupervised algorithms\
 , distinguished by the presence or absence of reward feedback. Both types 
 of learning are highly effective in artificial neural networks. In biologi
 cal systems\, task learning has been shown to change sensory neural repres
 entations\, but it is not known if these changes are due to supervised or 
 unsupervised learning. Here we recorded populations of ~70\,000 neurons si
 multaneously from primary visual cortex (V1) and higher visual areas (HVA)
 \, while animals learned multiple tasks as well as during unrewarded expos
 ure to the same stimuli. We find that neural changes due to task learning 
 were concentrated in medial and anterior HVAs. The changes in medial HVAs 
 were also found in animals that did not learn a task\, while changes in an
 terior HVAs were not. Anterior HVAs represented a ramping reward anticipat
 ion signal which was abolished by the delivery of reward\, consistent with
  the involvement of this area in supervised learning. Across different tas
 ks\, neural changes in all areas including V1 were consistent with a patte
 rn of generalizing to new stimuli according to the rules of the respective
  task\, even when the task was not explicitly instructed. Thus\, most chan
 ges in neural representations in visual areas are due to unsupervised lear
 ning and these changes may support behavioral generalization in ecological
  scenarios where rewards are rare. \n\nBio: \nCarsen Stringer is a group l
 eader at HHMI Janelia Research Campus. She did her PhD work at University 
 College London on computational neuroscience with Kenneth Harris and Matte
 o Carandini\, and her postdoc at Janelia with Marius Pachitariu. She devel
 ops algorithms for understanding large-scale neural activity. In addition\
 , she has developed general segmentation algorithms for cellular data\, wh
 ich enable fast and accurate processing of ~50\,000 neuron recordings.\n\n
 Followed by a reception in the atrium with appetizers and drinks\n\nThis t
 alk is available to the MIT community via zoom webinar: https://mit.zoom.u
 s/j/91001475363
GEO:42.362302;-71.091766
LOCATION:Building 46\, 46-3002 Singleton Auditorium
SUMMARY:BCS Colloquium Series: Carsen Stringer
URL;VALUE=URI:https://calendar.mit.edu/event/bcs_colloquium_series_carsen_s
 tringer
CATEGORIES:Conferences/Seminars/Lectures
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