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Attention is more than prediction precision

  • Howard Bowman (a1), Marco Filetti (a1), Brad Wyble (a2) and Christian Olivers (a3)


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.



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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):113.
Feldman, H. & Friston, K. J. (2010) Attention, uncertainty, and free-energy. Frontiers in Human Neuroscience 4:215. doi:10.3389/fnmuh.2010.00215.
Horstmann, G. (2002) Evidence for attentional capture by a surprising color singleton in visual search. Psychological Science 13(6):499505.
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. 187206. MIT Press.
Van Voorhis, S. & Hillyard, S. A. (1977) Visual evoked potentials and selective attention to points in space. Perception and Psychophysics 22(1):5462.


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