A Multi-Area Stochastic Model for a Covert Visual Search Task.
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-alterna...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4545888?pdf=render |
| _version_ | 1828859011992125440 |
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| author | Michael A Schwemmer Samuel F Feng Philip J Holmes Jacqueline Gottlieb Jonathan D Cohen |
| author_facet | Michael A Schwemmer Samuel F Feng Philip J Holmes Jacqueline Gottlieb Jonathan D Cohen |
| author_sort | Michael A Schwemmer |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T02:09:46Z |
| format | Article |
| id | doaj.art-bfc926c8fdcd49958a91c67fb1af9bad |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T02:09:46Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-bfc926c8fdcd49958a91c67fb1af9bad2022-12-22T00:03:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e013609710.1371/journal.pone.0136097A Multi-Area Stochastic Model for a Covert Visual Search Task.Michael A SchwemmerSamuel F FengPhilip J HolmesJacqueline GottliebJonathan D CohenDecisions 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.http://europepmc.org/articles/PMC4545888?pdf=render |
| spellingShingle | Michael A Schwemmer Samuel F Feng Philip J Holmes Jacqueline Gottlieb Jonathan D Cohen A Multi-Area Stochastic Model for a Covert Visual Search Task. PLoS ONE |
| title | A Multi-Area Stochastic Model for a Covert Visual Search Task. |
| title_full | A Multi-Area Stochastic Model for a Covert Visual Search Task. |
| title_fullStr | A Multi-Area Stochastic Model for a Covert Visual Search Task. |
| title_full_unstemmed | A Multi-Area Stochastic Model for a Covert Visual Search Task. |
| title_short | A Multi-Area Stochastic Model for a Covert Visual Search Task. |
| title_sort | multi area stochastic model for a covert visual search task |
| url | http://europepmc.org/articles/PMC4545888?pdf=render |
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