Computational and psychophysical experiments on the Pacinian corpuscle's ability to discriminate complex stimuli

Tiffany Louisa Senkow, Nicholas Theis, Julia Quindlen-Hotek, Victor H Barocas

Research output: Contribution to journalArticle

Abstract

Recognizing and discriminating vibrotactile stimuli is an essential function of the Pacinian corpuscle. This function has been studied at length in both a computational and an experimental setting, but the two approaches have rarely been compared, especially when the computational model has a high level of structural detail. In this work, we explored whether the predictions of a multiscale, multiphysical computational model of the Pacinian corpuscle can predict the outcome of a corresponding psychophysical experiment. The discrimination test involved either (1) two simple stimuli with frequency in the 160-500 Hz range, or (2) two complex stimuli formed by combining the waveforms for a 100 Hz stimulus with a second stimulus in the 160-500 Hz range. The subjects ability to distinguish between the simple stimuli increased as the frequency increased, a result consistent with the model predictions for the same stimuli. The model also predicted correctly that subjects would find the complex stimuli more difficult to distinguish than the simple ones and also that the discriminability of the complex stimuli would show no trend with frequency difference.

Original languageEnglish (US)
JournalIEEE Transactions on Haptics
DOIs
StateAccepted/In press - Jan 1 2019

Fingerprint

Experiments

Keywords

  • biomechanics
  • Biomedical engineering
  • Computational modeling
  • Frequency conversion
  • Manganese
  • Neurites
  • Pacinian corpuscle
  • perception and psychophysics
  • Predictive models
  • Strain
  • vibrotactile perception

Cite this

Computational and psychophysical experiments on the Pacinian corpuscle's ability to discriminate complex stimuli. / Senkow, Tiffany Louisa; Theis, Nicholas; Quindlen-Hotek, Julia; Barocas, Victor H.

In: IEEE Transactions on Haptics, 01.01.2019.

Research output: Contribution to journalArticle

@article{3315857c5b054d4a9051e1e59a4ba08b,
title = "Computational and psychophysical experiments on the Pacinian corpuscle's ability to discriminate complex stimuli",
abstract = "Recognizing and discriminating vibrotactile stimuli is an essential function of the Pacinian corpuscle. This function has been studied at length in both a computational and an experimental setting, but the two approaches have rarely been compared, especially when the computational model has a high level of structural detail. In this work, we explored whether the predictions of a multiscale, multiphysical computational model of the Pacinian corpuscle can predict the outcome of a corresponding psychophysical experiment. The discrimination test involved either (1) two simple stimuli with frequency in the 160-500 Hz range, or (2) two complex stimuli formed by combining the waveforms for a 100 Hz stimulus with a second stimulus in the 160-500 Hz range. The subjects ability to distinguish between the simple stimuli increased as the frequency increased, a result consistent with the model predictions for the same stimuli. The model also predicted correctly that subjects would find the complex stimuli more difficult to distinguish than the simple ones and also that the discriminability of the complex stimuli would show no trend with frequency difference.",
keywords = "biomechanics, Biomedical engineering, Computational modeling, Frequency conversion, Manganese, Neurites, Pacinian corpuscle, perception and psychophysics, Predictive models, Strain, vibrotactile perception",
author = "Senkow, {Tiffany Louisa} and Nicholas Theis and Julia Quindlen-Hotek and Barocas, {Victor H}",
year = "2019",
month = "1",
day = "1",
doi = "10.1109/TOH.2019.2903500",
language = "English (US)",
journal = "IEEE Transactions on Haptics",
issn = "1939-1412",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Computational and psychophysical experiments on the Pacinian corpuscle's ability to discriminate complex stimuli

AU - Senkow, Tiffany Louisa

AU - Theis, Nicholas

AU - Quindlen-Hotek, Julia

AU - Barocas, Victor H

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Recognizing and discriminating vibrotactile stimuli is an essential function of the Pacinian corpuscle. This function has been studied at length in both a computational and an experimental setting, but the two approaches have rarely been compared, especially when the computational model has a high level of structural detail. In this work, we explored whether the predictions of a multiscale, multiphysical computational model of the Pacinian corpuscle can predict the outcome of a corresponding psychophysical experiment. The discrimination test involved either (1) two simple stimuli with frequency in the 160-500 Hz range, or (2) two complex stimuli formed by combining the waveforms for a 100 Hz stimulus with a second stimulus in the 160-500 Hz range. The subjects ability to distinguish between the simple stimuli increased as the frequency increased, a result consistent with the model predictions for the same stimuli. The model also predicted correctly that subjects would find the complex stimuli more difficult to distinguish than the simple ones and also that the discriminability of the complex stimuli would show no trend with frequency difference.

AB - Recognizing and discriminating vibrotactile stimuli is an essential function of the Pacinian corpuscle. This function has been studied at length in both a computational and an experimental setting, but the two approaches have rarely been compared, especially when the computational model has a high level of structural detail. In this work, we explored whether the predictions of a multiscale, multiphysical computational model of the Pacinian corpuscle can predict the outcome of a corresponding psychophysical experiment. The discrimination test involved either (1) two simple stimuli with frequency in the 160-500 Hz range, or (2) two complex stimuli formed by combining the waveforms for a 100 Hz stimulus with a second stimulus in the 160-500 Hz range. The subjects ability to distinguish between the simple stimuli increased as the frequency increased, a result consistent with the model predictions for the same stimuli. The model also predicted correctly that subjects would find the complex stimuli more difficult to distinguish than the simple ones and also that the discriminability of the complex stimuli would show no trend with frequency difference.

KW - biomechanics

KW - Biomedical engineering

KW - Computational modeling

KW - Frequency conversion

KW - Manganese

KW - Neurites

KW - Pacinian corpuscle

KW - perception and psychophysics

KW - Predictive models

KW - Strain

KW - vibrotactile perception

UR - http://www.scopus.com/inward/record.url?scp=85064410811&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064410811&partnerID=8YFLogxK

U2 - 10.1109/TOH.2019.2903500

DO - 10.1109/TOH.2019.2903500

M3 - Article

JO - IEEE Transactions on Haptics

JF - IEEE Transactions on Haptics

SN - 1939-1412

ER -