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Attention is more than prediction precision

Published online by Cambridge University Press:  10 May 2013

Howard Bowman ,
Marco Filetti ,
Brad Wyble  and
Christian Olivers
Howard Bowman
Affiliation:
Centre for Cognitive Neuroscience and Cognitive Systems, and the School of Computing, University of Kent at Canterbury, Kent CT2 7NF, United Kingdom. H.Bowman@kent.ac.uk M.Filetti@kent.ac.uk http://www.cs.kent.ac.uk/people/staff/hb5/ http://www.cs.kent.ac.uk/people/rpg/mf266/
Marco Filetti
Affiliation:
Centre for Cognitive Neuroscience and Cognitive Systems, and the School of Computing, University of Kent at Canterbury, Kent CT2 7NF, United Kingdom. H.Bowman@kent.ac.uk M.Filetti@kent.ac.uk http://www.cs.kent.ac.uk/people/staff/hb5/ http://www.cs.kent.ac.uk/people/rpg/mf266/
Brad Wyble
Affiliation:
Department of Psychology, Syracuse University, Syracuse, NY 13244. bwyble@gmail.com www.bradwyble.com
Christian Olivers
Affiliation:
Department of Cognitive Psychology, Faculty of Psychology and Education, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands. c.n.l.olivers@vu.nl http://olivers.cogpsy.nl
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Abstract

A cornerstone of the target article is that, in a predictive coding framework, attention can be modelled by weighting prediction error with a measure of precision. We argue that this is not a complete explanation, especially in the light of ERP (event-related potentials) data showing large evoked responses for frequently presented target stimuli, which thus are predicted.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 206 - 208
Copyright
Copyright © Cambridge University Press 2013 

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References

Chennu, S., Craston, P., Wyble, B. & Bowman, H. (2009) Attention increases the temporal precision of conscious perception: Verifying the neural ST2 model. PLOS Computational Biology 5(11):1–13.Google Scholar
Feldman, H. & Friston, K. J. (2010) Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience 4:215. doi:10.3389/fnmuh.2010.00215.Google Scholar
Horstmann, G. (2002) Evidence for attentional capture by a surprising color singleton in visual search. Psychological Science 13(6):499–505.Google Scholar
Luck, S. J. (2006) The operation of attention – millisecond by millisecond – over the first half second. In: The first half second: The microgenesis and temporal dynamics of unconscious and conscious visual processing, ed. Breitmeyer, H. Ö. B. G., pp. 187–206. MIT Press.Google Scholar
Van Voorhis, S. & Hillyard, S. A. (1977) Visual evoked potentials and selective attention to points in space. Perception and Psychophysics 22(1):54–62.CrossRefGoogle Scholar