Modelling reaction times in non-linear classification tasks

Martha Lewis, Anna Fedor, Michael Öllinger, E. Szathmáry, Chrisantha Fernando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate reaction times for classification of visual stimuli composed of combinations of shapes, to distinguish between parallel and serial processing of stimuli. Reaction times in a visual XOR task are slower than in AND/OR tasks in which pairs of shapes are categorised. This behaviour is explained by the time needed to perceive shapes in the various tasks, using a parallel drift diffusion model. The parallel model explains reaction times in an extension of the XOR task, up to 7 shapes. Subsequently, the behaviour is explained by a combined model that assumes perceptual chunking, processing shapes within chunks in parallel, and chunks themselves in serial. The pure parallel model also explains reaction times for ALL and EXISTS tasks. An extension to the perceptual chunking model adds time taken to apply a logical rule. We are able to improve the fit to the data by including this extra parameter, but using model selection the extra parameter is not supported. We further simulate the behaviour exhibited using an echo state network, successfully recreating the behaviour seen in humans.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages53-64
Number of pages12
Volume8575 LNAI
ISBN (Print)9783319088631
DOIs
Publication statusPublished - 2014
Event13th International Conference on the Simulation of Adaptive Behavior, SAB 2014 - Castellon, Spain
Duration: Jul 22 2014Jul 25 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8575 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on the Simulation of Adaptive Behavior, SAB 2014
CountrySpain
CityCastellon
Period7/22/147/25/14

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Lewis, M., Fedor, A., Öllinger, M., Szathmáry, E., & Fernando, C. (2014). Modelling reaction times in non-linear classification tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8575 LNAI, pp. 53-64). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8575 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-08864-8_6