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Research ArticleNew Research, Cognition and Behavior

Single-Trial Event-Related Potential Correlates of Belief Updating

Daniel Bennett, Carsten Murawski and Stefan Bode
eNeuro 28 September 2015, 2 (5) ENEURO.0076-15.2015; https://doi.org/10.1523/ENEURO.0076-15.2015
Daniel Bennett
1Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia
2Department of Finance, The University of Melbourne, Parkville, Victoria 3010, Australia
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Carsten Murawski
2Department of Finance, The University of Melbourne, Parkville, Victoria 3010, Australia
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Stefan Bode
1Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0076-15.2015
PubMed 
26473170
Published By 
Society for Neuroscience
History 
  • Received July 8, 2015
  • Revision received September 3, 2015
  • Accepted September 16, 2015
  • Published online September 28, 2015.
Copyright & Usage 
Copyright © 2015 Bennett et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Daniel Bennett1,2,
  2. Carsten Murawski2 and
  3. Stefan Bode1
  1. 1Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia
  2. 2Department of Finance, The University of Melbourne, Parkville, Victoria 3010, Australia
  1. Correspondence should be addressed to Daniel Bennett, Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia. E-mail: daniel.bennett{at}unimelb.edu.au.
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Author contributions

  1. Author contributions: D.B., C.M., and S.B. designed research. D.B. performed research and analysed data. D.B., C.M., and S.B. wrote the paper.

Disclosures

  • 1 The authors declare no competing financial interests.

  • This work was funded by a Strategic Initiatives Fund grant from the Faculty of Business and Economics at The University of Melbourne to C.M. and S.B., and an Australian Research Council Discovery Early Career Researcher Award (DE 140100350) to S.B.

Funding

  • Australian Research Council

    DE140100350
  • Faculty of Business and Economics, The University of Melbourne

    Strategic Initiatives Fund

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  • You are viewing the most recent version of this article.
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Single-Trial Event-Related Potential Correlates of Belief Updating
Daniel Bennett, Carsten Murawski, Stefan Bode
eNeuro 28 September 2015, 2 (5) ENEURO.0076-15.2015; DOI: 10.1523/ENEURO.0076-15.2015

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Single-Trial Event-Related Potential Correlates of Belief Updating
Daniel Bennett, Carsten Murawski, Stefan Bode
eNeuro 28 September 2015, 2 (5) ENEURO.0076-15.2015; DOI: 10.1523/ENEURO.0076-15.2015
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Keywords

  • belief updating
  • computational modeling
  • learning
  • P3
  • single-trial
  • SPN

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  • RE: Single-Trial Event-Related Potential Correlates of Belief Updating
    Bruno Kopp, Antonio Kolossa and Tim Fingscheidt
    Published on: 27 October 2015
  • Published on: (27 October 2015)
    Page navigation anchor for RE: Single-Trial Event-Related Potential Correlates of Belief Updating
    RE: Single-Trial Event-Related Potential Correlates of Belief Updating
    • Bruno Kopp, Neuropsychologist, Hannover Medical School
    • Other Contributors:
      • Antonio Kolossa
      • Tim Fingscheidt
    Progress in understanding the neural bases of cognition requires computational frameworks. Bennett et al. provide an important example for Bayesian belief updating (BBU). They describe BBU as the transformation of prior beliefs into posterior beliefs after new information is observed, and they report that BBU is encoded in anterior P3 (P3a) amplitude variability. Bennett et al. describe their P3a finding as if it was novel, citing two previous publications as formulating the hypothesis that P3 amplitude reflects a BBU mechanism (Kopp, 2008; Mars et al., 2008). Kopp (2008) provides theoretical arguments. Mars et al. (2008) found that predictive surprise was encoded in the parietal P3b, leading these authors to speculate that the P3a may encode BBU, but they left their speculation unexamined. Bennett et al. shortly mention another recently published study: ’The observed results are broadly consistent with recent research investigating Bayesian single-trial properties of the P3 in a prediction task without reinforcement (Kolossa et al., 2015).’ (p. 12). However, they do not provide detailed descriptions of the reported findings: This study evidently showed that P3a amplitude variability can be best accounted for by BBU, that P3b amplitude variability can be best accounted for by predictive surprise (see also Kolossa et al., 2013), and that posterior slow wave amplitude variability can be best accounted for by Bayesian prediction updating. Our previous work was inadequately cited...Show More
    Progress in understanding the neural bases of cognition requires computational frameworks. Bennett et al. provide an important example for Bayesian belief updating (BBU). They describe BBU as the transformation of prior beliefs into posterior beliefs after new information is observed, and they report that BBU is encoded in anterior P3 (P3a) amplitude variability. Bennett et al. describe their P3a finding as if it was novel, citing two previous publications as formulating the hypothesis that P3 amplitude reflects a BBU mechanism (Kopp, 2008; Mars et al., 2008). Kopp (2008) provides theoretical arguments. Mars et al. (2008) found that predictive surprise was encoded in the parietal P3b, leading these authors to speculate that the P3a may encode BBU, but they left their speculation unexamined. Bennett et al. shortly mention another recently published study: ’The observed results are broadly consistent with recent research investigating Bayesian single-trial properties of the P3 in a prediction task without reinforcement (Kolossa et al., 2015).’ (p. 12). However, they do not provide detailed descriptions of the reported findings: This study evidently showed that P3a amplitude variability can be best accounted for by BBU, that P3b amplitude variability can be best accounted for by predictive surprise (see also Kolossa et al., 2013), and that posterior slow wave amplitude variability can be best accounted for by Bayesian prediction updating. Our previous work was inadequately cited by Bennett et al., leaving the unjustified impression that their “P3a encodes BBU” finding represents a first-time scientific discovery through neglecting our study’s veritable impact.Show Less
    Competing Interests: None declared.

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