ArticleScience advances2023
Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Task learning increases information redundancy of neural responses in macaque visual cortex.Science (New York, N.Y.) · 2026Article
- Motion direction biases around the clock: Learned and in-built direction priors pull perception and pursuit apart.Journal of vision · 2026Article
- Distinctive feature sensitivity of ocular following initiation during global motion perception.Communications biology · 2025Article
- Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.Scientific reports · 2025Article
- Article
- Compositional architecture: Orthogonal neural codes for task context and spatial memory in prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- Coordinated representations for naturalistic memory encoding and retrieval in hippocampal neural subspaces.Nature communications · 2025Article
- Multidisciplinary correlates of table tennis participation in children: a concept mapping study.Frontiers in public health · 2025Article
- Localized and global representation of prior value, sensory evidence, and choice in male mouse cerebral cortex.Nature communications · 2024Article
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4 authors.
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Abstract
Prior knowledge facilitates our perception and goal-directed behaviors, particularly when sensory input is lacking or noisy. However, the neural mechanisms underlying the improvement in sensorimotor behavior 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, 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 can explain the biases and variabilities in smooth pursuit, 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 expectations in the MT population activity that correlate with behavioral changes.
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