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BEGIN:VEVENT
DTSTAMP:20260406T074331Z
UID:1601643600@ist.ac.at
DTSTART:20201002T150000
DTEND:20201002T160000
DESCRIPTION:Speaker: Venkat Ramaswamy\nhosted by Tim Vogels\nAbstract: TL\;
  DR: Non-existence of tractable algorithms for neural circuit interrogatio
 n could pose a barrier to comprehensively understanding how neural circuit
 s cause behavior.Neuroscience is witnessing extraordinary progress in expe
 rimental techniques\, especially at the neural circuit level. These advanc
 es are largely aimed at enabling us to understand precisely how neural cir
 cuit computations mechanistically cause behavior. Establishing this type o
 f causal understanding will require multiple perturbational (e.g optogenet
 ic) experiments. It has been unclear exactly how many such experiments are
  needed and how this number scales with the size of the nervous system in 
 question. Here\, using techniques from Theoretical Computer Science\, we p
 rove that establishing the most extensive notions of understanding need ex
 ponentially-many experiments in the number of neurons\, in many cases\, un
 less a widely-posited hypothesis about computation is false (i.e. unless P
  = NP). Furthermore\, using data and estimates\, we demonstrate that the f
 easible experimental regime is typically one where the number of experimen
 ts performable scales sub-linearly in the number of neurons in the nervous
  system. This remarkable gulf between the worst-case and the feasible sugg
 ests an algorithmic barrier to such an understanding. Determining which no
 tions of understanding are algorithmically tractable to establish in what 
 contexts\, thus\, becomes an important new direction for investigation.Pre
 print: https://biorxiv.org/content/10.1101/639724v1/Tweeprint: https://twi
 tter.com/VenkRamaswamy/status/1132969215646871552
LOCATION:Online Talk crowdcast\, ISTA
ORGANIZER:
SUMMARY:Venkat Ramaswamy: Neuroscience Talk Vankat Ramaswamy
URL:https://talks-calendar.ista.ac.at/events/2876
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