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Behavioral decomposition reveals rich encoding structure employed across neocortex in rats.

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Neural activity in the cortex reflects movement, but its role in natural behavior is unclear. This study reveals how different brain regions encode movement and pose for specific computations.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Cortical population codes often contain movement-related activity.
  • The relationship between these neural signals and natural behaviors is not well understood.
  • Their function in sensory cortices requires further investigation.

Purpose of the Study:

  • To investigate how neural activity in different cortical regions relates to natural behaviors in freely foraging rats.
  • To determine how movement and pose information is organized across visual, auditory, somatosensory, and motor cortices.
  • To explore the functional implications of this organization for local computations.

Main Methods:

  • High-density neural recordings were performed across four cortical regions (visual, auditory, somatosensory, motor) in male rats.
  • Neural data were analyzed in relation to sensory modulation, posture, movement, and detailed ethograms of behavior.
  • Decoding analyses were used to identify represented behavioral features.

Main Results:

  • Momentary actions like rearing and turning were ubiquitously encoded across all sampled cortical regions.
  • Continuous features of movement and pose exhibited region-specific organization.
  • Visual and auditory cortices preferentially encoded head orientation in world-referenced coordinates, while somatosensory and motor cortices encoded trunk and head in egocentric coordinates.
  • Synaptically coupled neurons showed connection patterns suggesting area-specific utilization of movement and pose signals.

Conclusions:

  • Ongoing behavior is encoded at multiple levels throughout the dorsal cortex.
  • Low-level behavioral features are differentially processed and utilized by distinct cortical regions.
  • This region-specific encoding supports locally relevant computations within each cortical area.