P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study.
The capability of the human brain for Bayesian inference was assessed by manipulating probabilistic contingencies in an urn-ball task. Event-related potentials (ERPs) were recorded in response to stimuli that differed in their relative frequency of occurrence (.18 to .82). A veraged ERPs with suffic...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 16; no. 5; pp. 911 - 929 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118006261&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118006261 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Oct2016 vid: 16 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118006261 10.3758/s13415-016-0442-3 118006261 ppf: 911 ppct: 18 formats: fmt: @attributes: type: P tig: atl: P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study. aug: au: Kopp, Bruno Seer, Caroline Lange, Florian Kluytmans, Anouck Kolossa, Antonio Fingscheidt, Tim Hoijtink, Herbert affil: Department of Neurology , Hannover Medical School , Carl-Neuberg-Str. 1 30625 Hannover Germany sug: ab: The capability of the human brain for Bayesian inference was assessed by manipulating probabilistic contingencies in an urn-ball task. Event-related potentials (ERPs) were recorded in response to stimuli that differed in their relative frequency of occurrence (.18 to .82). A veraged ERPs with sufficient signal-to-noise ratio (relative frequency of occurrence > .5) were used for further analysis. Research hypotheses about relationships between probabilistic contingencies and ERP amplitude variations were formalized as (in-)equality constrained hypotheses. Conducting Bayesian model comparisons, we found that manipulations of prior probabilities and likelihoods were associated with separately modifiable and distinct ERP responses. P3a amplitudes were sensitive to the degree of prior certainty such that higher prior probabilities were related to larger frontally distributed P3a waves. P3b amplitudes were sensitive to the degree of likelihood certainty such that lower likelihoods were associated with larger parietally distributed P3b waves. These ERP data suggest that these antecedents of Bayesian inference (prior probabilities and likelihoods) are coded by the human brain. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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