Skip to main content

A Multi-Area Stochastic Model for a Covert Visual Search Task

Author(s): Schwemmer, Michael A.; Feng, Samuel F.; Holmes, Philip J.; Gottlieb, Jacqueline; Cohen, Jonathan D.

To refer to this page use:
Abstract: Decisions typically comprise several elements. For example, attention must be directed towards specific objects, their identities recognized, and a choice made among alternatives. Pairs of competing accumulators and drift-diffusion processes provide good models of evidence integration in two-alternative perceptual choices, but more complex tasks requiring the coordination of attention and decision making involve multistage processing and multiple brain areas. Here we consider a task in which a target is located among distractors and its identity reported by lever release. The data comprise reaction times, accuracies, and single unit recordings from two monkeys’ lateral interparietal area (LIP) neurons. LIP firing rates distinguish between targets and distractors, exhibit stimulus set size effects, and show response-hemifield congruence effects. These data motivate our model, which uses coupled sets of leaky competing accumulators to represent processes hypothesized to occur in feature-selective areas and limb motor and pre-motor areas, together with the visual selection process occurring in LIP. Model simulations capture the electrophysiological and behavioral data, and fitted parameters suggest that different connection weights between LIP and the other cortical areas may account for the observed behavioral differences between the animals.
Publication Date: 19-Aug-2015
Electronic Publication Date: 19-Aug-2015
Citation: Schwemmer, Michael A., Feng, Samuel F., Holmes, Philip J., Gottlieb, Jacqueline, Cohen, Jonathan D. (2015). A Multi-Area Stochastic Model for a Covert Visual Search Task. PLOS ONE, 10 (8), e0136097 - e0136097. doi:10.1371/journal.pone.0136097
DOI: doi:10.1371/journal.pone.0136097
EISSN: 1932-6203
Pages: e0136097 - e0136097
Type of Material: Journal Article
Journal/Proceeding Title: PLOS ONE
Version: Final published version. This is an open access article.

Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.