期刊
ENEURO
卷 8, 期 6, 页码 -出版社
SOC NEUROSCIENCE
DOI: 10.1523/ENEURO.0263-21.2021
关键词
computer simulation; human; psychophysics; tactile coding; vibrotactile
资金
- Deutsche Forschungsgemeinschaft [SCHW577/14-1, SCHW577/14-3]
- Projekt DEAL
- University Tubingen
The study investigated whether humans implement a temporally local coding scheme for perceptual decisions in the tactile system. The results showed that manipulating local pulse shape significantly affects psychophysical performance, suggesting the existence of temporally local coding in human tactile perception. Different kinematic layouts of pulses resulted in distinct differences in performance, indicating that temporally local coding may not be tuned to a unique kinematic variable.
Sensory environments are commonly characterized by specific physical features, which sensory systems might exploit using dedicated processing mechanisms. In the tactile sense, one such characteristic feature is frictional movement, which gives rise to short-lasting (<10 ms), information-carrying integument vibrations. Rather than generic integrative encoding (i.e., averaging or spectral analysis capturing the intensity and best frequency), the tactile system might benefit from, what we call a temporally local coding scheme that instantaneously detects and analyzes shapes of these short-lasting features. Here, by employing analytic psychophysical measurements, we tested whether the prerequisite of temporally local coding exists in the human tactile system. We employed pulsatile skin indentations at the fingertip that allowed us to trade manipulation of local pulse shape against changes in global intensity and frequency, achieved by adding pulses of the same shape. We found that manipulation of local pulse shape has strong effects on psychophysical performance, arguing for the notion that humans implement a temporally local coding scheme for perceptual decisions. As we found distinct differences in performance using different kinematic layouts of pulses, we inquired whether temporally local coding is tuned to a unique kinematic variable. This was not the case, since we observed different preferred kinematic variables in different ranges of pulse shapes. Using an established encoding model for primary afferences and indentation stimuli, we were able to demonstrate that the found kinematic preferences in human performance, may well be explained by the response characteristics of Pacinian corpuscles (PCs), a class of human tactile primary afferents.
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