Neurally Constrained Modeling of Perceptual Decision Making

Autor/inn/en	Purcell, Braden A.; Heitz, Richard P.; Cohen, Jeremiah Y.; Schall, Jeffrey D.; Logan, Gordon D.; Palmeri, Thomas J.
Titel	Neurally Constrained Modeling of Perceptual Decision Making
Quelle	In: Psychological Review, 117 (2010) 4, S.1113-1143 (31 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-295X
DOI	10.1037/a0020311
Schlagwörter	Decision Making; Perception; Behavior Theories; Evidence; Mathematical Models; Selection Tools; Neurological Organization; Reaction Time + Suchen Sie Ihr Suchwort? Decision-making; Entscheidungsfindung; Wahrnehmung; Evidenz; Mathematical model; Mathematisches Modell; Auslesekriterium; Reaktionsvermögen
Abstract	Stochastic accumulator models account for response time in perceptual decision-making tasks by assuming that perceptual evidence accumulates to a threshold. The present investigation mapped the firing rate of frontal eye field (FEF) visual neurons onto perceptual evidence and the firing rate of FEF movement neurons onto evidence accumulation to test alternative models of how evidence is combined in the accumulation process. The models were evaluated on their ability to predict both response time distributions and movement neuron activity observed in monkeys performing a visual search task. Models that assume gating of perceptual evidence to the accumulating units provide the best account of both behavioral and neural data. These results identify discrete stages of processing with anatomically distinct neural populations and rule out several alternative architectures. The results also illustrate the use of neurophysiological data as a model selection tool and establish a novel framework to bridge computational and neural levels of explanation. (Contains 6 footnotes, 4 tables, and 14 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10