Neurally constrained modeling of perceptual decision making.
Year: 2010
Type: article
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.
Source: Psychological Review
DOI: 10.1037/a0020311
Institution: Vanderbilt University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Funders: National Science Foundation, James S. McDonnell Foundation, Vanderbilt University, National Institutes of Health, National Institute of Mental Health, National Eye Institute, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Air Force Office of Scientific Research
Awards: Eunice Kennedy Shriver Intellectual and Developmental Disability Research Center, Neural Control of Voluntary Movement, Priming and Executive Control, G3867380075, G4039831958, The Temporal Dynamics of Learning, G5318893862, Binocular Rivalry in Human Vision, Saccade Target Selection Frontal Cortex, CRCNS: Stochastic Models of Executive Control in Monkeys and Humans, G7220527126, G7672421269, G9000049790, G9000060478, Core Grant in Vision Research
OpenAlex ID: W2095688342