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Characterizing Human Perception of Speed Differences in Walking: Insights From a Drift Diffusion Model.

Marcela Gonzalez-Rubio1, Gelsy Torres-Oviedo2,3, Pablo A Iturralde1,3,4

  • 1Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15260.

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Humans can accurately sense subtle speed changes during walking, a key finding for understanding sensorimotor adaptation. This research applies perceptual models to walking, revealing insights into sensory processing during locomotion.

Keywords:
decision-makinghuman locomotionmotor controlsensorimotor adaptation

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Area of Science:

  • Neuroscience
  • Human Motor Control
  • Perception

Background:

  • Sensation is crucial for motor control but less studied than motor output in adaptation.
  • Measuring internal sensory variables non-invasively during locomotion is challenging.

Purpose of the Study:

  • To investigate the accuracy of sensing sensory stimuli that drive locomotor adaptation.
  • To explore the perceptual processes involved in walking using a split-belt treadmill.

Main Methods:

  • A split-belt treadmill induced locomotor adaptation with varying speed differences.
  • A two-alternative forced-choice paradigm assessed perceptual accuracy.
  • A drift-diffusion model (DDM) analyzed stimulus identification and reaction times.

Main Results:

  • Participants identified a 49.7 mm/s speed difference (4.7% Weber Fraction) with 75% accuracy at 1.05 m/s.
  • The drift-diffusion model accurately predicted stimulus identification using reaction times.
  • Perceptual performance exceeded previous reports for similar speed differences.

Conclusions:

  • Individuals possess a refined ability to detect speed variations during walking.
  • Perception during walking aligns with evidence accumulation models, similar to static sensory tasks.
  • This study bridges the gap between internal sensation and motor adaptation research.