Work

Trial-by-trial adaptation of decision making performance - a model-based EEG analysis

Year: 2011

Type: article

Abstract: Whenever we engage in a task, it is crucial we monitor our performance to make sure that it does not decline. When it does decline, the performance monitoring system takes action to remedy that, e.g., by slowing down responding (Laming, 1979; Rabbitt, 1966). Botvinick, Braver, Barch, Carter, and Cohen (2001) proposed that this slowing of response times (RTs) reflected conflict that stirred a performance monitoring system to action. There exist various decision systems that adapt performance (Daw, Niv, & Dayan, 2005), each of which have been associated with specific neural correlates. Some of the behavioral adjustment is thought to be implemented by the medial frontal cortex (MFC), thought to implement reinforcement learning mechanisms for behavioral adjustment (Cohen & Ranganath, 2007). This is contrasted to the striatum that is thought to implement rule-based behavioral adjustments.

Source: University of Groningen research database (University of Groningen / Centre for Information Technology)

Authors: van Vugt, M. K., Simen, P., Cohen, J. D., Özyurt, J., Anschütz, A., Bernholt, S., Lenk, J.

Language: English

Topic: Neural and Behavioral Psychology Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funder: Air Force Office of Scientific Research

Awards: G1523888516, G8138020066

OpenAlex ID: W2541530577

FWCI:

Cites: 23

Cited by: 1

Related to: 10