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Related Experiment Videos

Dynamic range adaptation in primary motor cortical populations.

Robert G Rasmussen1,2, Andrew Schwartz1,2,3, Steven M Chase2,4

  • 1Department of Bioengineering, University of Pittsburgh, Pittsburgh, United States.

Elife
|April 19, 2017
PubMed
Summary

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Primary motor cortex neurons adapt their firing rates, similar to sensory neurons, optimizing information processing. This dynamic range adaptation is a fundamental neural encoding mechanism, not limited to sensory inputs.

Area of Science:

  • Neuroscience
  • Motor Control
  • Neural Encoding

Background:

  • Neural populations in sensory regions adapt their dynamic range in response to changing stimulus statistics.
  • This adaptation optimizes information transmission from sensory inputs.
  • The presence of such adaptation in motor regions is less understood.

Purpose of the Study:

  • To investigate whether primary motor cortex (M1) neurons exhibit dynamic range adaptation.
  • To explore the population-based mechanisms underlying these adaptations.
  • To determine if dynamic range adaptation is a canonical feature of neural encoding.

Main Methods:

  • Monkeys were trained to operate brain-computer interfaces (BCIs) in 2D and 3D virtual environments.
  • Simultaneous recordings of primary motor cortical cell firing rates were performed.
Keywords:
brain-computer interfacecomputational biologydynamic range adaptationmotor controlneuroscienceprimary motor cortexrhesus macaquesystems biology

Related Experiment Videos

  • Changes in the amplitude of directional tuning curves were analyzed.

    • Main Results:

    • Neurons in the primary motor cortex showed altered directional tuning curve amplitudes between 2D and 3D tasks.
    • Analysis of simultaneous recordings supported dynamic range adaptation as the underlying mechanism.
    • The observed changes were consistent with population-based adaptation.

    Conclusions:

    • Dynamic range adaptation is not exclusive to sensory regions.
    • This adaptation mechanism extends beyond monotonic stimulus intensity tuning curves.
    • Dynamic range adaptation may represent a canonical feature of neural encoding across different brain regions.