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Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in the sensory cortex

JeongJun Park, Seolmin Kim, HyungGoo R. Kim, View ORCID ProfileJoonyeol Lee
doi: https://doi.org/10.1101/2022.12.04.516847
JeongJun Park
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
4Department of Neuroscience, Washington University School of Medicine, St. Louis, Missouri 63110, United States of America
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Seolmin Kim
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
2Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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HyungGoo R. Kim
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
2Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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Joonyeol Lee
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
2Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
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  • ORCID record for Joonyeol Lee
  • For correspondence: joonyeol@g.skku.edu
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Abstract

Prior knowledge facilitates our perception and goal-directed behaviors in the dynamic world, particularly when sensory input is lacking or noisy. However, the neural mechanisms underlying the improvement in sensorimotor behaviors by prior expectations remain unknown. In this study, we examine the neural activity in the middle temporal (MT) area of visual cortex while monkeys perform a smooth pursuit eye movement task with prior expectation of the visual target’s motion direction. Prior expectations discriminately reduce the MT neural responses depending on their preferred directions, only when the sensory evidence is weak. This response reduction effectively sharpens neural population direction tuning. Simulations with a realistic MT population demonstrate that sharpening the tuning explains both the biases and variabilities in smooth pursuit, thus suggesting that neural computations in the sensory area alone can underpin the integration of prior knowledge and sensory evidence. State-space analysis further supports this by revealing neural signals of prior expectation in the MT population activity that correlate with behavioral changes.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Data Availability: The data and the code supporting this study’s findings can be accessed from the link, https://semoconlab.com/codes/bayesian-area-mt/.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted December 05, 2022.
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Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in the sensory cortex
JeongJun Park, Seolmin Kim, HyungGoo R. Kim, Joonyeol Lee
bioRxiv 2022.12.04.516847; doi: https://doi.org/10.1101/2022.12.04.516847
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Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in the sensory cortex
JeongJun Park, Seolmin Kim, HyungGoo R. Kim, Joonyeol Lee
bioRxiv 2022.12.04.516847; doi: https://doi.org/10.1101/2022.12.04.516847

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