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SUMMARY:Connectivity inference in visual cortex and characterization of co
 ntrast-suppressed cells - Simon Renner\, Ludwig-Maximilians-Universität M
 ünchen
DTSTART:20211126T140000Z
DTEND:20211126T150000Z
UID:TALK166372@talks.cam.ac.uk
CONTACT:Yul Kang
DESCRIPTION:Connectivity inference in visual cortex\n\nModel-based efforts
  to infer cortical connectivity from neuronal activity are challenged by o
 verwhelming parameter spaces\, biological constraints\, and consideration 
 of external inputs. Here\, we develop an inference procedure of connectivi
 ty in visual cortex using the stabilized supralinear network (SSN) and app
 ly our method to in-vivo recordings from mouse dorsolateral geniculate nuc
 leus (dLGN) and primary visual cortex (V1). We find a consistent ordering 
 of connectivity strengths and offer predictions for inhibitory-to-inhibito
 ry connectivity in V1.\n\nCharacterization of contrast-suppressed cells\n\
 nSince the beginnings of visual neuroscience\, neurons that respond to cer
 tain visual stimuli with an increase in firing have been studied intensely
 . However\, there exists a significant fraction of neurons that are suppre
 ssed by visual stimuli. These suppressed-by-contrast (SbC) neurons have be
 en found from the retina to visual cortex and have recently been related t
 o specific interneuron types and behavioral state. Here\, we investigate i
 ntrinsic and stimulus response properties of SbC neurons in mouse dLGN and
  V1. We find SbC neurons to have unique firing patterns\, longer response 
 latencies\, and to be tuned to stimulus orientation and spatial phase.\n\n
 Zoom information:\nhttps://us02web.zoom.us/j/84958321096?pwd=dFpsYnpJYWVNe
 HlJbEFKbW1OTzFiQT09\n\nMeeting ID: 849 5832 1096\n\nPasscode: 506576
LOCATION:Online on Zoom
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