State trace analysis: Dissociable processes in a connectionist network?
dc.contributor.author | Yeates, F | |
dc.contributor.author | Wills, Andy | |
dc.contributor.author | Jones, FW | |
dc.contributor.author | McLaren, IPL | |
dc.date.accessioned | 2016-01-04T13:03:02Z | |
dc.date.available | 2016-01-04T13:03:02Z | |
dc.date.issued | 2015-01-01 | |
dc.identifier.issn | 0364-0213 | |
dc.identifier.issn | 1551-6709 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/4157 | |
dc.description.abstract |
<jats:title>Abstract</jats:title><jats:p>Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed (Dunn, 2003). One proposed solution is state‐trace analysis (Bamber, 1979), which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either (a) a single process underlies performance (one function is produced) or (b) there is evidence for more than one process (more than one function is produced). This article reports simulations using the simple recurrent network (<jats:styled-content style="fixed-case">SRN</jats:styled-content>; Elman, 1990) in which changes to the learning rate produced state‐trace plots with multiple functions. We also report simulations using a single‐layer error‐correcting network that generate plots with a single function. We argue that the presence of different functions on a state‐trace plot does not necessarily support a dual‐system account, at least as typically defined (e.g. two separate autonomous systems competing to control responding); it can also indicate variation in a single parameter within theories generally considered to be single‐system accounts.</jats:p> | |
dc.format.extent | 1047-1061 | |
dc.format.medium | Print-Electronic | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Wiley | |
dc.subject | State-trace analysis | |
dc.subject | Multiple systems | |
dc.subject | Model evaluation | |
dc.subject | Connectionist network | |
dc.subject | Dual processes | |
dc.subject | Computer simulation | |
dc.title | State trace analysis: Dissociable processes in a connectionist network? | |
dc.type | journal-article | |
dc.type | Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000357893800008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 5 | |
plymouth.volume | 39 | |
plymouth.publication-status | Published | |
plymouth.journal | Cognitive Science | |
dc.identifier.doi | 10.1111/cogs.12185 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Admin Group - REF | |
plymouth.organisational-group | /Plymouth/Admin Group - REF/REF Admin Group - FoH | |
plymouth.organisational-group | /Plymouth/Faculty of Health | |
plymouth.organisational-group | /Plymouth/Faculty of Health/School of Psychology | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA04 Psychology, Psychiatry and Neuroscience | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.publisher.place | United States | |
dcterms.dateAccepted | 2014-04-14 | |
dc.identifier.eissn | 1551-6709 | |
dc.rights.embargoperiod | No embargo | |
rioxxterms.versionofrecord | 10.1111/cogs.12185 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2015-01-01 | |
rioxxterms.type | Journal Article/Review |