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Updated: Jan 21, 2026

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Published on: April 16, 2014
Predictive Sensing: The Role of Motor Signals in Sensory Processing
Jessica X Brooks1, Kathleen E Cullen2
1Department of Physiology, McGill University, Montreal, QC, Canada.
The brain cancels self-generated sensory input during movement by integrating motor signals with sensory information. This process ensures perceptual stability and accurate motor control in everyday activities.
Area of Science:
- Neuroscience
- Sensory Processing
- Motor Control
Background:
- Voluntary behavior requires integrating motor commands with sensory feedback.
- Distinguishing self-generated (reafferent) from external (exafferent) sensory input is crucial for perception and action.
- Understanding the neural mechanisms underlying this sensory gating is a key challenge in neuroscience.
Purpose of the Study:
- To review recent experimental findings providing circuit-level insights into how motor signals cancel reafferent sensory input during active behaviors.
- To explore common and divergent strategies across different sensory systems.
- To highlight the implications for brain flexibility and the sense of agency.
Main Methods:
- Review of recent experimental studies investigating neural circuits involved in sensory gating.
- Analysis of findings from somatosensory, vestibular, auditory, and visual systems.
- Focus on circuit-level mechanisms and the role of motor-related inputs.
Main Results:
- Sensory reafference suppression occurs at early central processing stages in somatosensory, vestibular, and auditory systems, involving the cerebellum.
- Motor-related inputs also suppress reafference at higher cortical levels, particularly in the visual system.
- Common and distinct strategies for sensory gating exist across different sensory modalities.
Conclusions:
- The brain employs sophisticated neural strategies to selectively cancel self-generated sensory input during voluntary actions.
- These mechanisms are essential for maintaining perceptual stability and accurate motor control.
- Understanding these processes provides insight into neural computations underlying agency and the calibration of sensory-motor relationships.
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