Advanced

Separating predictive responses from reactive responses in isochronous finger tapping using Bayesian hierarchical modeling

Bååth, Rasmus LU and Patching, Geoffrey LU (2013) Fechner Day 2013 In Proceedings of the 29th Annual Meeting of the International Society for Psychophysics 29. p.72-72
Abstract
Finger tapping to isochronous pacing stimuli is a well established experimental paradigm first described in the late 19th century. Two variables of common interest in rhythmic tapping tasks are timing variability and constant error. However, a difficulty when estimating these variables is that at interstimulus intervals longer than 2 seconds participants regularly overshoot the target interval and instead react to the pacing stimulus. These reactive responses result in a left skewed, non-normal response distribution, which can lead to underestimation of both the constant error and timing variability when using classical moment estimators such as the sample mean and standard deviation. A Bayesian hierarchical model is presented that models... (More)
Finger tapping to isochronous pacing stimuli is a well established experimental paradigm first described in the late 19th century. Two variables of common interest in rhythmic tapping tasks are timing variability and constant error. However, a difficulty when estimating these variables is that at interstimulus intervals longer than 2 seconds participants regularly overshoot the target interval and instead react to the pacing stimulus. These reactive responses result in a left skewed, non-normal response distribution, which can lead to underestimation of both the constant error and timing variability when using classical moment estimators such as the sample mean and standard deviation. A Bayesian hierarchical model is presented that models the timing responses as coming from a right censored normal distribution. Comparing this model with classical estimators using both simulated and experimental data shows that the Bayesian model measures timing variability and constant error more accurately and with less bias. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Isochronous Finger Tapping, Bayesian Modelling
in
Proceedings of the 29th Annual Meeting of the International Society for Psychophysics
editor
Wackermann, J.; Wittman, M.; Skrandies, W.; ; and
volume
29
pages
1 pages
publisher
The International Society for Psychophysics
conference name
Fechner Day 2013
language
English
LU publication?
yes
id
8652c10b-dfab-407b-ab62-9fa23c87a87f (old id 4379106)
date added to LUP
2014-03-31 15:44:56
date last changed
2016-04-16 08:19:00
@inproceedings{8652c10b-dfab-407b-ab62-9fa23c87a87f,
  abstract     = {Finger tapping to isochronous pacing stimuli is a well established experimental paradigm first described in the late 19th century. Two variables of common interest in rhythmic tapping tasks are timing variability and constant error. However, a difficulty when estimating these variables is that at interstimulus intervals longer than 2 seconds participants regularly overshoot the target interval and instead react to the pacing stimulus. These reactive responses result in a left skewed, non-normal response distribution, which can lead to underestimation of both the constant error and timing variability when using classical moment estimators such as the sample mean and standard deviation. A Bayesian hierarchical model is presented that models the timing responses as coming from a right censored normal distribution. Comparing this model with classical estimators using both simulated and experimental data shows that the Bayesian model measures timing variability and constant error more accurately and with less bias.},
  author       = {Bååth, Rasmus and Patching, Geoffrey},
  booktitle    = {Proceedings of the 29th Annual Meeting of the International Society for Psychophysics},
  editor       = {Wackermann, J. and Wittman, M. and Skrandies, W.},
  keyword      = {Isochronous Finger Tapping,Bayesian Modelling},
  language     = {eng},
  pages        = {72--72},
  publisher    = {The International Society for Psychophysics},
  title        = {Separating predictive responses from reactive responses in isochronous finger tapping using Bayesian hierarchical modeling},
  volume       = {29},
  year         = {2013},
}