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TZID:Europe/Vienna
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DTSTART:20190331T030000
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DTSTART:20181028T020000
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DTSTAMP:20260404T064804Z
UID:5c2f53ddbfc3c984556792@ist.ac.at
DTSTART:20190211T140000
DTEND:20190211T150000
DESCRIPTION:Speaker: Aljoscha Leonhardt\nhosted by Maximilian Jösch\nAbstr
 act: Sensory neural circuits solve complex problems under challenging stim
 ulus conditions. Flies\, for instance\, are remarkably adept at estimating
  scene velocity from highly variable photoreceptor signals and use this in
 formation to control their course. Our current models of fly motion detect
 ion\, however\, struggle with the immense contrast variations pervasive in
  real-world environments. Here\, we demonstrate that Drosophila use local 
 contrast to dynamically adjust the sensitivity of their optomotor response
 . Using two-photon calcium imaging\, we comprehensively survey cell types 
 involved in motion detection and pinpoint the emergence of adaptive signal
  compression to the third layer of visual processing. The contrast signal 
 that shapes response properties is spatially distributed and fast. Genetic
  silencing experiments prove that feedback loops play a crucial role in sh
 ifting sensitivity to the appropriate range. Finally\, we train artificial
  convolutional neural networks to perform velocity estimation on a large s
 et of naturalistic motion stimuli. Models that include dynamic range adjus
 tment outperform their simpler counterparts by a wide margin\, highlightin
 g the importance of signal compression for reliable motion detection in re
 alistic visual environments.
LOCATION:Seminar Room\, Lab Building East\, ISTA
ORGANIZER:rsix@ist.ac.at
SUMMARY:Aljoscha Leonhardt: Neural circuits in the real world: Dynamic sign
 al compression for robust motion vision in flies
URL:https://talks-calendar.ista.ac.at/events/1791
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