Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception
| buir.contributor.author | Clarke, Aaron | |
| dc.citation.spage | 1193 | en_US |
| dc.citation.volumeNumber | 5 | en_US |
| dc.contributor.author | Clarke, Aaron | en_US |
| dc.contributor.author | Herzog, M. | en_US |
| dc.contributor.author | Francis, G. | en_US |
| dc.date.accessioned | 2020-04-09T17:08:49Z | |
| dc.date.available | 2020-04-09T17:08:49Z | |
| dc.date.issued | 2014 | |
| dc.department | Aysel Sabuncu Brain Research Center (BAM) | en_US |
| dc.description.abstract | Experimentaliststendtoclassifymodelsofvisualperceptionasbeingeitherlocalorglobal,andinvolvingeitherfeedforwardorfeedbackprocessing.Wearguethatthesedistinctionsarenotashelpfulastheymightappear,andweillustratetheseissuesbyanalyzingmodelsofvisualcrowdingasanexample.Recentstudieshavearguedthatcrowdingcannotbeexplainedbypurelylocalprocessing,butthatinstead,globalfactorssuchasperceptualgroupingarecrucial.Theoriesofperceptualgrouping,inturn,ofteninvokefeedbackconnectionsasawaytoaccountfortheirglobalproperties.Weexaminedthreetypesofcrowdingmodelsthatarerepresentativeofglobalprocessingmodels,andtwoofwhichemployfeedbackprocessing:amodelbasedonFourierfiltering,afeedbackneuralnetwork,andaspecificfeedbackneuralarchitecturethatexplicitlymodelsperceptualgrouping.Simulationsdemonstratethatcrucialempiricalfindingsarenotaccountedforbyanyofthemodels.Weconcludethatempiricalinvestigationsthatrejectalocalorfeedforwardarchitectureofferalmostnoconstraintsformodelconstruction,asthereareanuncountablenumberofglobalandfeedbacksystems.Weproposethattheidentificationofasystemasbeinglocalorglobalandfeedforwardorfeedbackislessimportantthantheidentificationofasystem’scomputationaldetails.Onlythelatterinformationcanprovideconstraintsonmodeldevelopmentandpromotequantitativeexplanationsofcomplexphenomena. | en_US |
| dc.description.provenance | Submitted 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.provenance | Made 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: 2014 | en |
| dc.identifier.doi | 10.3389/fpsyg.2014.01193 | en_US |
| dc.identifier.issn | 1664-1078 | |
| dc.identifier.uri | http://hdl.handle.net/11693/53575 | |
| dc.language.iso | English | en_US |
| dc.publisher | Frontiers | en_US |
| dc.relation.isversionof | https://doi.org/10.3389/fpsyg.2014.01193 | en_US |
| dc.source.title | Frontiers in Psychology | en_US |
| dc.subject | Feed-forward | en_US |
| dc.subject | Hierarchicalmodels | en_US |
| dc.subject | Feedback | en_US |
| dc.subject | Scene processing | en_US |
| dc.subject | Object recognition | en_US |
| dc.title | Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception | en_US |
| dc.type | Article | en_US |