Universität zu Köln

Kluger, Daniel S., Quante, Laura, Kohler, Axel and Schubotz, Ricarda I. (2019). Being right matters: Model-compliant events in predictive processing. PLoS One, 14 (6). SAN FRANCISCO: PUBLIC LIBRARY SCIENCE. ISSN 1932-6203

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Abstract

While prediction errors (PE) have been established to drive learning through adaptation of internal models, the role of model-compliant events in predictive processing is less clear. Checkpoints (CP) were recently introduced as points in time where expected sensory input resolved ambiguity regarding the validity of the internal model. Conceivably, these events serve as on-line reference points for model evaluation, particularly in uncertain contexts. Evidence from fMRI has shown functional similarities of CP and PE to be independent of event-related surprise, raising the important question of how these event classes relate to one another. Consequently, the aim of the present study was to characterise the functional relationship of checkpoints and prediction errors in a serial pattern detection task using electroencephalography (EEG). Specifically, we first hypothesised a joint P3b component of both event classes to index recourse to the internal model (compared to non-informative standards, STD). Second, we assumed the mismatch signal of PE to be reflected in an N400 component when compared to CP. Event-related findings supported these hypotheses. We suggest that while model adaptation is instigated by prediction errors, checkpoints are similarly used for model evaluation. Intriguingly, behavioural subgroup analyses showed that the exploitation of potentially informative reference points may depend on initial cue learning: Strict reliance on cue-based predictions may result in less attentive processing of these reference points, thus impeding upregulation of response gain that would prompt flexible model adaptation. Overall, present results highlight the role of checkpoints as model-compliant, informative reference points and stimulate important research questions about their processing as function of learning und uncertainty.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Kluger, Daniel S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Quante, Laura UNSPECIFIED UNSPECIFIED UNSPECIFIED Kohler, Axel UNSPECIFIED UNSPECIFIED UNSPECIFIED Schubotz, Ricarda I. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-137841
DOI:	10.1371/journal.pone.0218311
Journal or Publication Title:	PLoS One
Volume:	14
Number:	6
Date:	2019
Publisher:	PUBLIC LIBRARY SCIENCE
Place of Publication:	SAN FRANCISCO
ISSN:	1932-6203
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DYNAMIC CHANGES; COMPONENTS; N400; P3; UNCERTAINTY; MEMORY; ERP; ELECTROENCEPHALOGRAM; RESPONSES; ERROR Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/13784