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DTSTART:20230326T030000
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DTSTART:20231029T020000
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DTSTAMP:20260424T041226Z
UID:6267c1da51480323297358@ist.ac.at
DTSTART:20230328T160000
DTEND:20230328T170000
DESCRIPTION:Speaker: Tomas Vega Zuniga and Bahti Zakirov\nAbstract: Speaker
 : Tomas Vega Zuniga (Posdtoc\, Jsch group)Title: A corollary discharge cen
 ter for visionAbstractA constant challenge for moving animals is to distin
 guish self-induced sensory signals from externally generated ones to detec
 t and act upon behaviorally relevant stimuli. Such computation requires a 
 fine-tuned correction of the animals movements\, termed corollary discharg
 e (CD)\, and is critical for sensorimotor coordination. In mammalian visio
 n\, such CD mechanisms have been found and are thought to primarily reside
  in higher cortical structures. Here\, I will show that a general CD signa
 l already regulates the first visual relay center of the brain\, the super
 ior colliculus (SC). Long-range feedforward inhibitory projections from th
 e thalamus\, i.e.\, the ventral LGN (vLGN)\, function as a CD\, effectivel
 y modulating vision. Through a series of anatomical and physiological expe
 riments\, I will show the specificity\, strength\, and properties of vLGN 
 projections to the SC and describe their influence on vision and behavior 
 in vivo. Our data indicate that vLGN is a critical hub for meaningful visu
 al operations during behavior\, emphasizing that vision is an active proce
 ssSpeaker: Bahti Zakirov (PhD student\, Tkacik Group)Title: Optimal Recur
 rent Connectivity for sensory coding of relevant informationAbstract:Senso
 ry neurons in the brain extract task-relevant information from stimuli by 
 forming strong recurrent connections within cortical regions and layers. I
 t is an open question how these connections could support representations 
 of relevant stimuli even at the early stages of sensory pathways. We explo
 re this question using a normative model of a sensory population that modu
 lates recurrent connections between neurons to separate relevant images fr
 om non-relevant backgrounds. We find that optimized networks solve this ta
 sk by forming mutually-inhibiting excitatory subnetworks\, which exchange 
 information that is spatially non-specific and cannot be encoded by indivi
 dual neurons. In addition to normative insights about what connectivity sh
 ould be like to perform this task\, we suggest analyses of neural data to 
 aid experimental studies on the role of recurrent connectivity in adaptive
  sensory processing. Before presenting these results\, I will walk through
  the basic aspects of normative theory in a manner accessible to a broad a
 udience.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:mmosiash@ist.ac.at
SUMMARY:Tomas Vega Zuniga and Bahti Zakirov: Tomas Vega Zuniga and Bahti Za
 kirov (NDT)
URL:https://talks-calendar.ista.ac.at/events/4086
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