TY - JOUR
T1 - Theoretical models of reaction times arising from simple-choice tasks
AU - Tejo, Mauricio
AU - Araya, Héctor
AU - Niklitschek-Soto, Sebastián
AU - Marmolejo-Ramos, Fernando
N1 - Funding Information:
This work is supported by funding from Project FONDECYT 1161023. We thank Carlos Velasco and David C. Osmon for providing us with the data sets featured here. The authors thank Professor Jeff Miller for assisting in clarifying definitions of simple-choice and 2AFC tasks. We also thank Nathan Leigh Jones and Amy K. Robinson for proofreading this manuscript. The authors acknowledge the unknown referees for their insightful suggestions.
Funding Information:
This work is supported by funding from Project FONDECYT 1161023. We thank Carlos Velasco and David C. Osmon for providing us with the data sets featured here. The authors thank Professor Jeff Miller for assisting in clarifying definitions of simple-choice and 2AFC tasks. We also thank Nathan Leigh Jones and Amy K. Robinson for proofreading this manuscript. The authors acknowledge the unknown referees for their insightful suggestions.
Publisher Copyright:
© 2019, Springer Nature B.V.
PY - 2019/8/15
Y1 - 2019/8/15
N2 - In this work we present a group of theoretical models for reaction times arising from simple-choice task tests. In particular, we argue for the inclusion of a shifted version of the Gamma distribution as a theoretical model based on a mathematical result on first hitting times. We contrast the goodness-of-fit of those models with the Ex-Gaussian distribution, using data from recently published experiments. The evidence of the results obtained highlights the convenience of proposing theoretical models for reaction times instead of models acting exclusively as quantitative distribution measurements.
AB - In this work we present a group of theoretical models for reaction times arising from simple-choice task tests. In particular, we argue for the inclusion of a shifted version of the Gamma distribution as a theoretical model based on a mathematical result on first hitting times. We contrast the goodness-of-fit of those models with the Ex-Gaussian distribution, using data from recently published experiments. The evidence of the results obtained highlights the convenience of proposing theoretical models for reaction times instead of models acting exclusively as quantitative distribution measurements.
KW - Cognitive process
KW - Quantitative distribution measurements
KW - Reaction times
KW - Simple-choice task tests
KW - Theoretical models
UR - http://www.scopus.com/inward/record.url?scp=85068795765&partnerID=8YFLogxK
U2 - 10.1007/s11571-019-09532-1
DO - 10.1007/s11571-019-09532-1
M3 - Article
AN - SCOPUS:85068795765
SN - 1871-4080
VL - 13
SP - 409
EP - 416
JO - Cognitive Neurodynamics
JF - Cognitive Neurodynamics
IS - 4
ER -