pcbi.1010557.g002.tif (2.85 MB)
Group-level Bayes Factors of models of interest against the null model.
figure
posted on 2023-12-13, 18:37 authored by Arnaud Poublan-Couzardot, Françoise Lecaignard, Enrico Fucci, Richard J. Davidson, Jérémie Mattout, Antoine Lutz, Oussama AbdounPositive and negative values indicate evidence against and in favor of the null model, respectively. Horizontal lines represent Jeffreys’ conventional thresholds for decisive evidence (BF = 100). For each study, the time range for which the deviant − standard difference potential, i.e. the MMN, is statistically significant is highlighted. Based on the definition of the model evidence, the group Bayes Factor (BF) is the product of individual BF, therefore the group log(BF) is the sum of individual log(BF). DD: deviant detection, SSA: stimulus-specific adaptation, BL: Bayesian learning, surp: Shannon’s surprise, pwpe: precision-weighted prediction error, madj: model adjustment.
History
Usage metrics
Categories
Keywords
using electroencephalographic datatwo model familiestwo main hypothesestwo independent studiesreports indicating spatialfirst ran simulationsdifferent theoretical accountscontrolled experimental parameterscomplex brain responsebayesian model averagingbayesian learning laterauditory deviance detectionphysiological mechanisms withinparameter models withinneurophysiological mechanisms underlyingbayesian learning modelsresolved approach revealed190 ms postearly mmn windowadaptation family revealedtested modelsgenerative mechanismsresolved fashion180 mstemporal dissociationsufficiently distinguishablesufficient snrstimulus dependingsnr ).sequential dynamicsrecurrent stimuliongoing debateobserved propertiesnoise rationeuronal adaptationmmn ),mismatch responsesmismatch negativitymethodological limitationshuman mmnhigh evidencedirect comparisonscompared adaptationcertain leveladaptation rates82 ),220ms ).
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC