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- Publisher Website: 10.1162/jocn.2008.20162
- Scopus: eid_2-s2.0-56649085326
- PMID: 18457514
- WOS: WOS:000260974600015
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Article: Convergence of the visual field split: Hemispheric modeling of face and object recognition
Title | Convergence of the visual field split: Hemispheric modeling of face and object recognition |
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Authors | |
Issue Date | 2008 |
Publisher | M I T Press. The Journal's web site is located at http://mitpress.mit.edu/jocn |
Citation | Journal Of Cognitive Neuroscience, 2008, v. 20 n. 12, p. 2298-2307 How to Cite? |
Abstract | Anatomical evidence shows that our visual field is initially split along the vertical midline and contralaterally projected to different hemispheres. It remains unclear at which processing stage the split information converges. In the current study, we applied the Double Filtering by Frequency (DFF) theory (Ivry & Robertson, 1998) to modeling the visual field split; the theory assumes a right-hemisphere/low-frequency bias. We compared three cognitive architectures with different timings of convergence and examined their cognitive plausibility to account for the left-side bias effect in face perception observed in human data. We show that the early convergence model failed to show the left-side bias effect. The modeling, hence, suggests that the convergence may take place at an intermediate or late stage, at least after information has been extracted/encoded separately in the two hemispheres, a fact that is often overlooked in computational modeling of cognitive processes. Comparative anatomical data suggest that this separate encoding process that results in differential frequency biases in the two hemispheres may be engaged from V1 up to the level of area V3a and V4v, and converge at least after the lateral occipital region. The left-side bias effect in our model was also observed in Greeble recognition; the modeling, hence, also provides testable predictions about whether the left-side bias effect may also be observed in (expertise-level) object recognition. © 2008 Massachusetts Institute of Technology. |
Persistent Identifier | http://hdl.handle.net/10722/169056 |
ISSN | 2023 Impact Factor: 3.1 2023 SCImago Journal Rankings: 1.402 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hsiao, JHW | en_US |
dc.contributor.author | Shieh, DX | en_US |
dc.contributor.author | Cottrell, GW | en_US |
dc.date.accessioned | 2012-10-08T03:41:16Z | - |
dc.date.available | 2012-10-08T03:41:16Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.citation | Journal Of Cognitive Neuroscience, 2008, v. 20 n. 12, p. 2298-2307 | en_US |
dc.identifier.issn | 0898-929X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169056 | - |
dc.description.abstract | Anatomical evidence shows that our visual field is initially split along the vertical midline and contralaterally projected to different hemispheres. It remains unclear at which processing stage the split information converges. In the current study, we applied the Double Filtering by Frequency (DFF) theory (Ivry & Robertson, 1998) to modeling the visual field split; the theory assumes a right-hemisphere/low-frequency bias. We compared three cognitive architectures with different timings of convergence and examined their cognitive plausibility to account for the left-side bias effect in face perception observed in human data. We show that the early convergence model failed to show the left-side bias effect. The modeling, hence, suggests that the convergence may take place at an intermediate or late stage, at least after information has been extracted/encoded separately in the two hemispheres, a fact that is often overlooked in computational modeling of cognitive processes. Comparative anatomical data suggest that this separate encoding process that results in differential frequency biases in the two hemispheres may be engaged from V1 up to the level of area V3a and V4v, and converge at least after the lateral occipital region. The left-side bias effect in our model was also observed in Greeble recognition; the modeling, hence, also provides testable predictions about whether the left-side bias effect may also be observed in (expertise-level) object recognition. © 2008 Massachusetts Institute of Technology. | en_US |
dc.language | eng | en_US |
dc.publisher | M I T Press. The Journal's web site is located at http://mitpress.mit.edu/jocn | en_US |
dc.relation.ispartof | Journal of Cognitive Neuroscience | en_US |
dc.subject.mesh | Face | en_US |
dc.subject.mesh | Facial Expression | en_US |
dc.subject.mesh | Functional Laterality - Physiology | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Models, Biological | en_US |
dc.subject.mesh | Pattern Recognition, Visual - Physiology | en_US |
dc.subject.mesh | Photic Stimulation - Methods | en_US |
dc.subject.mesh | Principal Component Analysis | en_US |
dc.subject.mesh | Space Perception - Physiology | en_US |
dc.subject.mesh | Visual Fields - Physiology | en_US |
dc.title | Convergence of the visual field split: Hemispheric modeling of face and object recognition | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hsiao, JHW:jhsiao@hku.hk | en_US |
dc.identifier.authority | Hsiao, JHW=rp00632 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1162/jocn.2008.20162 | en_US |
dc.identifier.pmid | 18457514 | - |
dc.identifier.scopus | eid_2-s2.0-56649085326 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-56649085326&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 20 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.spage | 2298 | en_US |
dc.identifier.epage | 2307 | en_US |
dc.identifier.eissn | 1530-8898 | - |
dc.identifier.isi | WOS:000260974600015 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Hsiao, JHW=7101605473 | en_US |
dc.identifier.scopusauthorid | Shieh, DX=25654138400 | en_US |
dc.identifier.scopusauthorid | Cottrell, GW=7102792906 | en_US |
dc.identifier.citeulike | 2945252 | - |
dc.identifier.issnl | 0898-929X | - |