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Behav Res[removed]:1148–1156 DOI[removed]s13428[removed]Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time Daniel R. Little
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Document Date: 2013-03-22 00:07:06


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City

Irvine / Parkville / Hillsdale / Austin / New York / /

Company

Oxford University Press / Cambridge University Press / Brown / MIT Press / Psychonomic Society Inc. / /

Country

Australia / United Kingdom / /

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Facility

University of Melbourne / Heathcote / /

IndustryTerm

maximum processing time / serial processing model / analytic solutions / visual search array / online version / information-processing channels / coactive processing channel / Information processing architecture / online supplement / minimum processing time / serial and parallel processing / /

Organization

University of Melbourne / Cambridge University / Psychonomic Society / MIT / Category B / Oxford University / /

Person

Note / Daniel R. Little Published / Van Zandt / /

Position

Author / simple RT / model / using Eq / Deriving RT distribution predictions / resulting RT / RT / serial model / full RT / model for response time and accuracy / Scientist / /

ProgrammingLanguage

MATLAB / /

ProvinceOrState

South Dakota / New Brunswick / Oregon / California / Victoria / /

PublishedMedium

Psychological Review / /

Technology

neuroscience / simulation / parallel processing / /

URL

www.psych.unimelb.edu.au/research/labs/knowlab/documents / /

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