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Related Concept Videos

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Related Experiment Video

Updated: Jun 13, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Flexible Perception of Tactile Cues in Multiple Reference Frames.

Himanshu Ahuja1, Sabyasachi Shivkumar1, Catalina Feistritzer2

  • 1Department of Brain and Cognitive Sciences University of Rochester Rochester, NY 14642.

Biorxiv : the Preprint Server for Biology
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

The brain integrates touch and body position cues differently based on the task. This flexibility in sensory processing influences how we perceive motion and make decisions.

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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

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Related Experiment Videos

Last Updated: Jun 13, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

Area of Science:

  • Neuroscience
  • Sensory Processing
  • Computational Neuroscience

Background:

  • Somatosensory processing models emphasize tactile and proprioceptive cue integration for touch perception.
  • However, this integration is not always beneficial, with task-dependent needs for independent or combined sensory representations.

Purpose of the Study:

  • To investigate how reference frame demands influence the integration of tactile and proprioceptive cues in human touch perception.
  • To understand the brain's flexible control over sensory integration based on specific task requirements.

Main Methods:

  • Human participants judged motion direction on a finger under varying hand postures.
  • Judgments were cued to be relative to the finger or the sternum (body midline).
  • Bayesian computational modeling was used to formalize sensory signal transformation across postures.

Main Results:

  • Tactile and proprioceptive cues were integrated in a task-specific manner, with hand posture influencing judgments only in the sternum-centric task.
  • Reaction times were faster for sternum-centric judgments, attributed to lower decision thresholds.
  • A Bayesian framework demonstrated how tactile motion signals transform across postures.

Conclusions:

  • Reference frame demands critically shape the transformation of tactile information and the speed of perceptual decisions.
  • Findings advance the understanding of task-dependent coordinate transformations in the brain's sensory mapping.