Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception

buir.contributor.authorClarke, Aaron
dc.citation.spage1193en_US
dc.citation.volumeNumber5en_US
dc.contributor.authorClarke, Aaronen_US
dc.contributor.authorHerzog, M.en_US
dc.contributor.authorFrancis, G.en_US
dc.date.accessioned2020-04-09T17:08:49Z
dc.date.available2020-04-09T17:08:49Z
dc.date.issued2014
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.description.abstractExperimentaliststendtoclassifymodelsofvisualperceptionasbeingeitherlocalorglobal,andinvolvingeitherfeedforwardorfeedbackprocessing.Wearguethatthesedistinctionsarenotashelpfulastheymightappear,andweillustratetheseissuesbyanalyzingmodelsofvisualcrowdingasanexample.Recentstudieshavearguedthatcrowdingcannotbeexplainedbypurelylocalprocessing,butthatinstead,globalfactorssuchasperceptualgroupingarecrucial.Theoriesofperceptualgrouping,inturn,ofteninvokefeedbackconnectionsasawaytoaccountfortheirglobalproperties.Weexaminedthreetypesofcrowdingmodelsthatarerepresentativeofglobalprocessingmodels,andtwoofwhichemployfeedbackprocessing:amodelbasedonFourierfiltering,afeedbackneuralnetwork,andaspecificfeedbackneuralarchitecturethatexplicitlymodelsperceptualgrouping.Simulationsdemonstratethatcrucialempiricalfindingsarenotaccountedforbyanyofthemodels.Weconcludethatempiricalinvestigationsthatrejectalocalorfeedforwardarchitectureofferalmostnoconstraintsformodelconstruction,asthereareanuncountablenumberofglobalandfeedbacksystems.Weproposethattheidentificationofasystemasbeinglocalorglobalandfeedforwardorfeedbackislessimportantthantheidentificationofasystem’scomputationaldetails.Onlythelatterinformationcanprovideconstraintsonmodeldevelopmentandpromotequantitativeexplanationsofcomplexphenomena.en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2020-04-09T17:08:49Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5)en
dc.description.provenanceMade available in DSpace on 2020-04-09T17:08:49Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) Previous issue date: 2014en
dc.identifier.doi10.3389/fpsyg.2014.01193en_US
dc.identifier.issn1664-1078
dc.identifier.urihttp://hdl.handle.net/11693/53575
dc.language.isoEnglishen_US
dc.publisherFrontiersen_US
dc.relation.isversionofhttps://doi.org/10.3389/fpsyg.2014.01193en_US
dc.source.titleFrontiers in Psychologyen_US
dc.subjectFeed-forwarden_US
dc.subjectHierarchicalmodelsen_US
dc.subjectFeedbacken_US
dc.subjectScene processingen_US
dc.subjectObject recognitionen_US
dc.titleVisual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perceptionen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Bilkent-research-paper.pdf
Size:
262.66 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: