TU Darmstadt / ULB / TUbiblio

Dynamics of attentional selection under conflict: toward a rational Bayesian account

Yu, Angela J. ; Dayan, Peter ; Cohen, Jonathan D. (2009)
Dynamics of attentional selection under conflict: toward a rational Bayesian account.
In: Journal of Experimental Psychology. Human Perception and Performance, 35 (3)
doi: 10.1037/a0013553
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The brain exhibits remarkable facility in exerting attentional control in most circumstances, but it also suffers apparent limitations in others. The authors' goal is to construct a rational account for why attentional control appears suboptimal under conditions of conflict and what this implies about the underlying computational principles. The formal framework used is based on Bayesian probability theory, which provides a convenient language for delineating the rationale and dynamics of attentional selection. The authors illustrate these issues with the Eriksen flanker task, a classical paradigm that explores the effects of competing sensory inputs on response tendencies. The authors show how 2 distinctly formulated models, based on compatibility bias and spatial uncertainty principles, can account for the behavioral data. They also suggest novel experiments that may differentiate these models. In addition, they elaborate a simplified model that approximates optimal computation and may map more directly onto the underlying neural machinery. This approximate model uses conflict monitoring, putatively mediated by the anterior cingulate cortex, as a proxy for compatibility representation. The authors also consider how this conflict information might be disseminated and used to control processing.

Typ des Eintrags: Artikel
Erschienen: 2009
Autor(en): Yu, Angela J. ; Dayan, Peter ; Cohen, Jonathan D.
Art des Eintrags: Bibliographie
Titel: Dynamics of attentional selection under conflict: toward a rational Bayesian account
Sprache: Englisch
Publikationsjahr: Juni 2009
Ort: Washington
Verlag: American Psychological Association
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Experimental Psychology. Human Perception and Performance
Jahrgang/Volume einer Zeitschrift: 35
(Heft-)Nummer: 3
DOI: 10.1037/a0013553
URL / URN: https://psycnet.apa.org/record/2009-07761-007
Zugehörige Links:
Kurzbeschreibung (Abstract):

The brain exhibits remarkable facility in exerting attentional control in most circumstances, but it also suffers apparent limitations in others. The authors' goal is to construct a rational account for why attentional control appears suboptimal under conditions of conflict and what this implies about the underlying computational principles. The formal framework used is based on Bayesian probability theory, which provides a convenient language for delineating the rationale and dynamics of attentional selection. The authors illustrate these issues with the Eriksen flanker task, a classical paradigm that explores the effects of competing sensory inputs on response tendencies. The authors show how 2 distinctly formulated models, based on compatibility bias and spatial uncertainty principles, can account for the behavioral data. They also suggest novel experiments that may differentiate these models. In addition, they elaborate a simplified model that approximates optimal computation and may map more directly onto the underlying neural machinery. This approximate model uses conflict monitoring, putatively mediated by the anterior cingulate cortex, as a proxy for compatibility representation. The authors also consider how this conflict information might be disseminated and used to control processing.

Freie Schlagworte: Attention, Bayes Theorem, Conflict, Psychological, Decision Making, Discrimination Learning, Field Dependence-Independence, Humans, Likelihood Functions, Pattern Recognition, Visual, Reaction Time
Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
Hinterlegungsdatum: 01 Nov 2023 09:06
Letzte Änderung: 02 Nov 2023 07:32
PPN: 51281001X
Zugehörige Links:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen