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Related Experiment Video

Updated: Jun 21, 2026

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
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Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes

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Spatiotemporal neural integration for bistable perception in a response-time structure-from-motion task.

Zhisong Wang1, Nikos K Logothetis, Hualou Liang

  • 1Microsoft Corporation, Bellevue, WA 98007, USA.

IEEE Transactions on Bio-Medical Engineering
|July 29, 2009
PubMed
Summary

Researchers decoded visual perception using neural activity in macaque monkeys. Faster responses correlated with higher decoding accuracy and shorter neural discrimination latency, suggesting a link between brain activity and behavior.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Neuroscience

Background:

  • Understanding perception's neural basis in the visual cortex is crucial for cognitive neuroscience.
  • Bistable stimuli, like structure from motion (SFM), allow dissociation of visual input from perception to study neural correlates.
  • Monitoring neural activity during perceptual tasks reveals how the brain processes visual information.

Purpose of the Study:

  • To decode bistable percepts of SFM from neural activity in the middle temporal visual cortex.
  • To investigate the temporal evolution and accumulation of discriminative information in neuronal populations.
  • To understand how neuronal activity dynamics relate to behavioral responses in a perceptual discrimination task.

Main Methods:

  • Simultaneous multiunit activity recording from multiple channels in awake behaving macaque monkeys.

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  • Utilizing bistable structure from motion (SFM) stimuli to create perceptual ambiguity.
  • Employing logistic regression, quadratic discriminant analysis (QDA), and linear discriminant analysis (LDA) for spatiotemporal decoding of neural activity.

    • Main Results:

    • Logistic regression demonstrated superior decoding accuracy compared to QDA and LDA for SFM percepts.
    • Decoding accuracy and latency were significantly correlated with response times (RT).
    • Higher decoding accuracy and shorter latency were associated with faster monkey responses.

    Conclusions:

    • Neuronal population activity dynamics can effectively decode subjective perceptual states.
    • Enhanced neuronal discrimination ability and reduced latency in neural processing correlate with faster behavioral responses.
    • These findings provide insights into the neural mechanisms underlying the link between perception and action.