A neurally plausible parallel distributed processing model of event-related potential word reading data.
The Parallel Distributed Processing (PDP) framework has significant potential for producing models of cognitive tasks that approximate how the brain performs the same tasks. To date, however, there has been relatively little contact between PDP modeling and data from cognitive neuroscience. In an at...
| Publicado en: | Brain & Language Vol. 120; no. 3; pp. 271 - 282 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Academic Press Inc.
Mar2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104534562&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104534562 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0093934X 89A jtl: Brain & Language issn: 0093934X maglogo: N pubinfo: dt: Mar2012 vid: 120 iid: 3 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 104534562 NLM21945392 2011490491 10.1016/j.bandl.2011.09.001 NLM21945392 PMC3328138 104534562 ppf: 271 ppct: 11 formats: tig: atl: A neurally plausible parallel distributed processing model of event-related potential word reading data. aug: au: Laszlo S Plaut DC Laszlo, Sarah Plaut, David C affil: Department of Psychology, State University of New York, Binghamton, NY, United States sug: subj: Cognition Physiology Evoked Potentials Physiology Models, Biological Visual Perception Physiology Reading Computer Simulation Evoked Potentials, Visual Physiology Parietal Lobe Physiology Semantics Neural Pathways Physiology ab: The Parallel Distributed Processing (PDP) framework has significant potential for producing models of cognitive tasks that approximate how the brain performs the same tasks. To date, however, there has been relatively little contact between PDP modeling and data from cognitive neuroscience. In an attempt to advance the relationship between explicit, computational models and physiological data collected during the performance of cognitive tasks, we developed a PDP model of visual word recognition which simulates key results from the ERP reading literature, while simultaneously being able to successfully perform lexical decision-a benchmark task for reading models. Simulations reveal that the model's success depends on the implementation of several neurally plausible features in its architecture which are sufficiently domain-general to be relevant to cognitive modeling more generally. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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