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Visual timing-tuned responses in human association cortices and response dynamics in early visual cortex

Author

Listed:
  • Evi Hendrikx

    (Utrecht University)

  • Jacob M. Paul

    (Utrecht University
    University of Melbourne)

  • Martijn Ackooij

    (Utrecht University)

  • Nathan Stoep

    (Utrecht University)

  • Ben M. Harvey

    (Utrecht University)

Abstract

Quantifying the timing (duration and frequency) of brief visual events is vital to human perception, multisensory integration and action planning. Tuned neural responses to visual event timing have been found in association cortices, in areas implicated in these processes. Here we ask how these timing-tuned responses are related to the responses of early visual cortex, which monotonically increase with event duration and frequency. Using 7-Tesla functional magnetic resonance imaging and neural model-based analyses, we find a gradual transition from monotonically increasing to timing-tuned neural responses beginning in the medial temporal area (MT/V5). Therefore, across successive stages of visual processing, timing-tuned response components gradually become dominant over inherent sensory response modulation by event timing. This additional timing-tuned response component is independent of retinotopic location. We propose that this hierarchical emergence of timing-tuned responses from sensory processing areas quantifies sensory event timing while abstracting temporal representations from spatial properties of their inputs.

Suggested Citation

  • Evi Hendrikx & Jacob M. Paul & Martijn Ackooij & Nathan Stoep & Ben M. Harvey, 2022. "Visual timing-tuned responses in human association cortices and response dynamics in early visual cortex," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31675-9
    DOI: 10.1038/s41467-022-31675-9
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    References listed on IDEAS

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    1. Ziqi Gao & Chenran Jiang & Jiawen Zhang & Xiaosen Jiang & Lanqing Li & Peilin Zhao & Huanming Yang & Yong Huang & Jia Li, 2023. "Hierarchical graph learning for protein–protein interaction," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Eline R. Kupers & Insub Kim & Kalanit Grill-Spector, 2024. "Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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