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TZID:Europe/Vienna
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DTSTART:20210328T030000
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TZOFFSETTO:+0200
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DTSTART:20211031T020000
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BEGIN:VEVENT
DTSTAMP:20260406T024005Z
UID:1617973200@ist.ac.at
DTSTART:20210409T150000
DTEND:20210409T160000
DESCRIPTION:Speaker: Tatyana Sharpee\nhosted by Georgia Christodoul\nAbstra
 ct: Classic studies show that in many species – from leech and cricket t
 o primate – responses of neural populations can be quite successfully re
 ad out using a measure neural population activity termed the population ve
 ctor. However\, despite its successes\, detailed analyses have shown that 
 the standard population vector discards substantial amounts of information
  contained in the responses of a neural population\, and so is unlikely to
  accurately describe how signal communication between parts of the nervous
  system.I will describe recent theoretical results showing how to modify t
 he population vector expression in order to read out neural responses with
 out information loss\, ideally. These results make it possible to quantify
  the contribution of weakly tuned neurons to perception.I will also discus
 s numerical methods that can be used to minimize information loss when rea
 ding out responses of large neural populations.
LOCATION:Online\, ISTA
ORGANIZER:
SUMMARY:Tatyana Sharpee: Reading out responses of large neural population w
 ith minimal information loss
URL:https://talks-calendar.ista.ac.at/events/3130
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