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An appeal against the item's death sentence: Accounting for diagnostic data patterns with an item-based model of visual search

Published online by Cambridge University Press:  24 May 2017

Rani Moran ,
Heinrich René Liesefeld ,
Marius Usher  and
Hermann J. Müller
Rani Moran
Affiliation:
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, United Kingdom; rani.moran@gmail.comhttps://iris.ucl.ac.uk/iris/browse/profile?upi=RMORA40 Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom; School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Ramat Aviv, Tel-Aviv 69978, Israel; marius@post.tau.ac.ilhttps://en-social-sciences.tau.ac.il/profile/marius
Heinrich René Liesefeld
Affiliation:
Department Psychologie, Ludwig-Maximilians-Universität München, D-80802 Munich, Germany; heinrich.liesefeld@psy.lmu.dehmueller@psy.lmu.dehttp://www.psy.lmu.de/exp/people/ma/liesefeld_hr/http://www.psy.lmu.de/exp/people/prof/mueller/
Marius Usher
Affiliation:
School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Ramat Aviv, Tel-Aviv 69978, Israel; marius@post.tau.ac.ilhttps://en-social-sciences.tau.ac.il/profile/marius
Hermann J. Müller
Affiliation:
Department Psychologie, Ludwig-Maximilians-Universität München, D-80802 Munich, Germany; heinrich.liesefeld@psy.lmu.dehmueller@psy.lmu.dehttp://www.psy.lmu.de/exp/people/ma/liesefeld_hr/http://www.psy.lmu.de/exp/people/prof/mueller/ Department of Psychological Sciences, Birkbeck College, University of London, London WC1E 7HX, United Kingdom.
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Abstract

We show that our item-based model, competitive guided search, accounts for the empirical patterns that Hulleman & Olivers (H&O) invoke against item-based models, and we highlight recently reported diagnostic data that challenge their approach. We advise against “forsaking the item” unless and until a full fixation-based model is shown to be superior to extant item-based models.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e148
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Copyright
Copyright © Cambridge University Press 2017 

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References

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