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Related Experiment Videos

Dissociation of Self-Motion and Object Motion by Linear Population Decoding That Approximates Marginalization.

Ryo Sasaki1, Dora E Angelaki2,3, Gregory C DeAngelis4

  • 1Department of Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York, 14627.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|October 15, 2017
PubMed
Summary

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The brain uses vestibular signals to separate self-motion from object motion, enhancing our ability to navigate. This research reveals how neural populations decode these distinct movements for accurate environmental perception.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Processing

Background:

  • Visual image motion is crucial for judging object and self-movement.
  • Self-motion and object motion are often confounded in retinal images, complicating neural processing.
  • The brain's mechanism for dissociating these motion components, particularly using vestibular signals, remains largely unknown.

Purpose of the Study:

  • To investigate the role of vestibular signals in dissociating self-motion and object motion.
  • To test the hypothesis that vestibular signals help separate confounded visual motion cues.
  • To explore how multisensory neuronal populations can decode self-motion and object motion.

Main Methods:

  • Recorded responses of MSTd neurons in two male rhesus monkeys.
Keywords:
headingmarginalizationmultisensoryobject motionoptic flow

Related Experiment Videos

  • Applied a linear population decoding method to approximate marginalization.
  • Analyzed how vestibular signals influence neural tuning for heading and object motion.

    • Main Results:

    • Vestibular signals stabilize heading tuning in neurons with congruent visual-vestibular preferences.
    • Vestibular signals stabilize object motion tuning in neurons with discrepant preferences.
    • A linear decoder accurately represented self-motion or object motion from population activity, consistent with vestibular preference-based decoding.

    Conclusions:

    • Vestibular signals enhance the separability of joint tuning for object motion and self-motion at both single neuron and population levels.
    • Vestibular signals play a critical role in dissociating self-motion and object motion cues.
    • Population decoding strategies can effectively disentangle self-motion and object motion from neural activity.