ERP studies commonly utilize gambling-based reinforcement tasks to elicit feedback negativity (FN) responses. This study used a pattern learning task in order to limit gambling-related fallacious reasoning and possible affective responses to gambling, while investigating relationships between the FN components between high and low reward expectation conditions. Eighteen undergraduates completed measures of reinforcement sensitivity, trait and state affect, and psychophysiological recording. The pattern learning task elicited a FN component for both high and low win expectancy conditions, which was found to be independent of reward expectation and showed little relationship with task and personality variables. We also observed a P3 component, which showed sensitivity to outcome expectancy variation and relationships to measures of anxiety, appetitive motivation, and cortical asymmetry, although these varied by electrode location and expectancy condition. Findings suggest that the FN reflected a binary reward-related signal, with little relationship to reward expectation found in previous studies, in the absence of positive affective responses.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319948PMC
http://dx.doi.org/10.1007/s40708-016-0050-6DOI Listing

Publication Analysis

Top Keywords

reward expectation
16
feedback negativity
8
independent reward
8
pattern learning
8
learning task
8
affective responses
8
high low
8
it's expect
4
expect feedback
4
negativity independent
4

Similar Publications

The neural basis of the insight memory advantage.

Trends Cogn Sci

January 2025

Department of Psychology, Humboldt University Berlin, Berlin, Germany; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.

Creative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models and thereby enhancing memory.

View Article and Find Full Text PDF

Two event-related brain potential (ERP) components, the frontocentral feedback-related negativity (FRN) and the posterior P300, are key in feedback processing. The FRN typically exhibits greater amplitude in response to negative and unexpected outcomes, whereas the P300 is generally more pronounced for positive outcomes. In an influential ERP study, Hajcak et al.

View Article and Find Full Text PDF

Contextual cues facilitate dynamic value encoding in the mesolimbic dopamine system.

Curr Biol

January 2025

Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA; Medical Discovery Team on Addiction, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address:

Adaptive behavior in a dynamic environmental context often requires rapid revaluation of stimuli that deviates from well-learned associations. The divergence between stable value-encoding and appropriate behavioral output remains a critical component of theories of dopamine's function in learning, motivation, and motor control. Yet, how dopamine neurons are involved in the revaluation of cues when the world changes, to alter our behavior, remains unclear.

View Article and Find Full Text PDF

Why Be Funny: The Influence of Social Norms on the Communicative Functions of Humor.

Behav Sci (Basel)

December 2024

School of Media and Communication, The University of Southern Mississippi, Hattiesburg, MS 39406, USA.

Humor is a valued social activity and, as such, should be influenced by social norms. This investigation examined the relationships between the functions of humor and the theory of normative social behavior. Descriptive norms are the foundation of TNSB.

View Article and Find Full Text PDF

Thompson Sampling for Non-Stationary Bandit Problems.

Entropy (Basel)

January 2025

School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Non-stationary multi-armed bandit (MAB) problems have recently attracted extensive attention. We focus on the abruptly changing scenario where reward distributions remain constant for a certain period and change at unknown time steps. Although Thompson sampling (TS) has shown success in non-stationary settings, there is currently no regret bound analysis for TS with uninformative priors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!