Literature DB >> 27266394

Prior probabilities modulate cortical surprise responses: A study of event-related potentials.

Caroline Seer1, Florian Lange2, Moritz Boos3, Reinhard Dengler4, Bruno Kopp5.   

Abstract

The human brain predicts events in its environment based on expectations, and unexpected events are surprising. When probabilistic contingencies in the environment are precisely instructed, the individual can form expectations based on quantitative probabilistic information ('inference-based learning'). In contrast, when probabilistic contingencies are imprecisely instructed, expectations are formed based on the individual's cumulative experience ('experience-based learning'). Here, we used the urn-ball paradigm to investigate how variations in prior probabilities and in the precision of information about these priors modulate choice behavior and event-related potential (ERP) correlates of surprise. In the urn-ball paradigm, participants are repeatedly forced to infer hidden states responsible for generating observable events, given small samples of factual observations. We manipulated prior probabilities of the states, and we rendered the priors calculable or incalculable, respectively. The analysis of choice behavior revealed that the tendency to consider prior probabilities when making decisions about hidden states was stronger when prior probabilities were calculable, at least in some of our participants. Surprise-related P3b amplitudes were observed in both the calculable and the incalculable prior probability condition. In contrast, calculability of prior probabilities modulated anteriorly distributed ERP amplitudes: when prior probabilities were calculable, surprising events elicited enhanced P3a amplitudes. However, when prior probabilities were incalculable, surprise was associated with enhanced N2 amplitudes. Furthermore, interindividual variability in reliance on prior probabilities was associated with attenuated P3b surprise responses under calculable in comparison to incalculable prior probabilities. Our results suggest two distinct neural systems for probabilistic learning that are recruited depending on contextual cues such as the precision of probabilistic information. Individuals with stronger tendencies to rely on calculable prior probabilities seem to have better adapted expectations at their disposal, as indicated by an attenuation of their P3b surprise responses when prior probabilities are calculable.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bayesian inference; Event-related potential; N2; P300; Prior probability; Surprise

Mesh:

Year:  2016        PMID: 27266394     DOI: 10.1016/j.bandc.2016.04.011

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  14 in total

1.  P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study.

Authors:  Bruno Kopp; Caroline Seer; Florian Lange; Anouck Kluytmans; Antonio Kolossa; Tim Fingscheidt; Herbert Hoijtink
Journal:  Cogn Affect Behav Neurosci       Date:  2016-10       Impact factor: 3.282

2.  Neural surprise in somatosensory Bayesian learning.

Authors:  Sam Gijsen; Miro Grundei; Robert T Lange; Dirk Ostwald; Felix Blankenburg
Journal:  PLoS Comput Biol       Date:  2021-02-02       Impact factor: 4.475

3.  Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To?

Authors:  Michal Müller; Petr Adámek; Silvie Kotherová; Marek Petrů; Tomáš Bubík; Anna Daušová; Leona Pelíšková
Journal:  Integr Psychol Behav Sci       Date:  2022-08-09       Impact factor: 1.156

4.  Probabilistic Inference: Task Dependency and Individual Differences of Probability Weighting Revealed by Hierarchical Bayesian Modeling.

Authors:  Moritz Boos; Caroline Seer; Florian Lange; Bruno Kopp
Journal:  Front Psychol       Date:  2016-05-27

5.  Being right matters: Model-compliant events in predictive processing.

Authors:  Daniel S Kluger; Laura Quante; Axel Kohler; Ricarda I Schubotz
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

6.  Frontal cortex tracks surprise separately for different sensory modalities but engages a common inhibitory control mechanism.

Authors:  Jan R Wessel; David E Huber
Journal:  PLoS Comput Biol       Date:  2019-07-29       Impact factor: 4.475

7.  The Music of Silence: Part II: Music Listening Induces Imagery Responses.

Authors:  Giovanni M Di Liberto; Guilhem Marion; Shihab A Shamma
Journal:  J Neurosci       Date:  2021-08-02       Impact factor: 6.167

8.  Single-trial modeling separates multiple overlapping prediction errors during reward processing in human EEG.

Authors:  Colin W Hoy; Sheila C Steiner; Robert T Knight
Journal:  Commun Biol       Date:  2021-07-23

9.  Variation in Event-Related Potentials by State Transitions.

Authors:  Hiroshi Higashi; Tetsuto Minami; Shigeki Nakauchi
Journal:  Front Hum Neurosci       Date:  2017-02-27       Impact factor: 3.169

10.  Novelty Manipulations, Memory Performance, and Predictive Coding: the Role of Unexpectedness.

Authors:  Richárd Reichardt; Bertalan Polner; Péter Simor
Journal:  Front Hum Neurosci       Date:  2020-04-29       Impact factor: 3.169

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