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.
%0 Journal Article
%1 BBS:8918863
%A Bowman, Howard
%A Filetti, Marco
%A Wyble, Brad
%A Olivers, Christian
%D 2013
%J Behavioral and Brain Sciences
%K cognition cognitive neuroscience predictivecoding
%N 03
%P 206--208
%R 10.1017/S0140525X12002324
%T Attention is more than prediction precision
%U http://journals.cambridge.org/article_S0140525X12002324
%V 36
%X 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.
@article{BBS:8918863,
abstract = { 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. },
added-at = {2013-06-14T13:03:44.000+0200},
author = {Bowman, Howard and Filetti, Marco and Wyble, Brad and Olivers, Christian},
biburl = {https://www.bibsonomy.org/bibtex/2e7b743872bc3ec50850a5135c4319505/yish},
doi = {10.1017/S0140525X12002324},
interhash = {5c7c7618b215f07fc5528687600e6be9},
intrahash = {e7b743872bc3ec50850a5135c4319505},
issn = {1469-1825},
journal = {Behavioral and Brain Sciences},
keywords = {cognition cognitive neuroscience predictivecoding},
month = {5},
number = 03,
numpages = {3},
pages = {206--208},
timestamp = {2013-06-14T13:05:29.000+0200},
title = {Attention is more than prediction precision},
url = {http://journals.cambridge.org/article_S0140525X12002324},
volume = 36,
year = 2013
}