Integrating contrast invariance into a model for cortical orientation map formation
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| Title: | Integrating contrast invariance into a model for cortical orientation map formation |
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| Authors: | Zhao, Laura Y.1 eezy@ee.ust.hk, Shi, Bertram E. eebert@ee.ust.hk |
| Source: | Neurocomputing. Mar2009, Vol. 72 Issue 7-9, p1887-1899. 13p. |
| Subjects: | Self-organizing maps, MAP (Computer program language), Mathematical mappings, Mathematical symmetry, Visual cortex, Mathematical models |
| Abstract: | Abstract: Hebbian models of orientation map formation in the primary visual cortex typically represent the cortex as an array of neurons that are excited by both ON and OFF lateral geniculate nucleus neurons. However, simple cells with only thalamic excitation exhibit tuning curves that widen with stimulus contrast. This is inconsistent with the contrast-invariant width actually observed. We propose a map formation model that achieves contrast invariance through anti-phase inhibition. We describe how inhibition between columns implements the coverage constraint to ensure orientations are uniformly sampled. We find that the model exhibits more robust receptive field formation than a simpler model without anti-phase inhibition. [Copyright &y& Elsevier] |
| Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 36970641 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating contrast invariance into a model for cortical orientation map formation – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Laura+Y%2E%22">Zhao, Laura Y.</searchLink><relatesTo>1</relatesTo><i> eezy@ee.ust.hk</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Bertram+E%2E%22">Shi, Bertram E.</searchLink><i> eebert@ee.ust.hk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>. Mar2009, Vol. 72 Issue 7-9, p1887-1899. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Self-organizing+maps%22">Self-organizing maps</searchLink><br /><searchLink fieldCode="DE" term="%22MAP+%28Computer+program+language%29%22">MAP (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+mappings%22">Mathematical mappings</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+symmetry%22">Mathematical symmetry</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+cortex%22">Visual cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Hebbian models of orientation map formation in the primary visual cortex typically represent the cortex as an array of neurons that are excited by both ON and OFF lateral geniculate nucleus neurons. However, simple cells with only thalamic excitation exhibit tuning curves that widen with stimulus contrast. This is inconsistent with the contrast-invariant width actually observed. We propose a map formation model that achieves contrast invariance through anti-phase inhibition. We describe how inhibition between columns implements the coverage constraint to ensure orientations are uniformly sampled. We find that the model exhibits more robust receptive field formation than a simpler model without anti-phase inhibition. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=36970641 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neucom.2008.06.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1887 Subjects: – SubjectFull: Self-organizing maps Type: general – SubjectFull: MAP (Computer program language) Type: general – SubjectFull: Mathematical mappings Type: general – SubjectFull: Mathematical symmetry Type: general – SubjectFull: Visual cortex Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Integrating contrast invariance into a model for cortical orientation map formation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Laura Y. – PersonEntity: Name: NameFull: Shi, Bertram E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 09252312 Numbering: – Type: volume Value: 72 – Type: issue Value: 7-9 Titles: – TitleFull: Neurocomputing Type: main |
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