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SUMMARY:Motion direction is represented as a bimodal probability distribut
 ion in the human visual cortex - Ece Bilgic
DTSTART:20250530T130000Z
DTEND:20250530T140000Z
UID:TALK232972@talks.cam.ac.uk
CONTACT:Adam Triabhall
DESCRIPTION:This week we will discuss and debate a paper by Chetverikov an
 d Jehee (2023).\n\nAbstract: “Humans infer motion direction from noisy s
 ensory signals. We hypothesize that to make these inferences more precise\
 , the visual system computes motion direction not only from velocity but a
 lso spatial orientation signals – a ‘streak’ created by moving objec
 ts. We implement this hypothesis in a Bayesian model\, which quantifies kn
 owledge with probability distributions\, and test its predictions using ps
 ychophysics and fMRI. Using a probabilistic pattern-based analysis\, we de
 code probability distributions of motion direction from trial-by-trial act
 ivity in the human visual cortex. Corroborating the predictions\, the deco
 ded distributions have a bimodal shape\, with peaks that predict the direc
 tion and magnitude of behavioral errors. Interestingly\, we observe simila
 r bimodality in the distribution of the observers’ behavioral responses 
 across trials. Together\, these results suggest that observers use spatial
  orientation signals when estimating motion direction. More broadly\, our 
 findings indicate that the cortical representation of low-level visual fea
 tures\, such as motion direction\, can reflect a combination of several qu
 alitatively distinct signals” (Chetverikov & Jehee\, 2023).\n\nReference
 : Chetverikov\, A.\, & Jehee\, J. F. M. (2023). Motion direction is repres
 ented as a bimodal probability distribution in the human visual cortex. Na
 ture Communications\, 14(1)\, 7634–7634. https://doi.org/10.1038/s41467-
 023-43251-w
LOCATION:https://cam-ac-uk.zoom.us/j/92612577704?pwd=MUtqMjVQdXNmUTVIYjRkM
 G1NUW9GZz09
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