View in EDS HTML Full Text PDF Full Text

Spatial scene representations formed by self-organizing learning in a hippocampal extension of the ventral visual system.

Saved in:
Bibliographic Details
Title: Spatial scene representations formed by self-organizing learning in a hippocampal extension of the ventral visual system.
Authors: Rolls, Edmund T. (AUTHOR), Tromans, James M. (AUTHOR), Stringer, Simon M. (AUTHOR)
Source: European Journal of Neuroscience. Nov2008, Vol. 28 Issue 10, p2116-2127. 12p. 1 Black and White Photograph, 1 Diagram, 4 Charts, 3 Graphs.
Subjects: Hippocampus (Brain), Visual cortex, Occipital lobe, Neurons, Nervous system
Abstract: We show in a unifying computational approach that representations of spatial scenes can be formed by adding an additional self-organizing layer of processing beyond the inferior temporal visual cortex in the ventral visual stream without the introduction of new computational principles. The invariant representations of objects by neurons in the inferior temporal visual cortex can be modelled by a multilayer feature hierarchy network with feedforward convergence from stage to stage, and an associative learning rule with a short-term memory trace to capture the invariant statistical properties of objects as they transform over short time periods in the world. If an additional layer is added to this architecture, training now with whole scenes that consist of a set of objects in a given fixed spatial relation to each other results in neurons in the added layer that respond to one of the trained whole scenes but do not respond if the objects in the scene are rearranged to make a new scene from the same objects. The formation of these scene-specific representations in the added layer is related to the fact that in the inferior temporal cortex and, we show, in the VisNet model, the receptive fields of inferior temporal cortex neurons shrink and become asymmetric when multiple objects are present simultaneously in a natural scene. This reduced size and asymmetry of the receptive fields of inferior temporal cortex neurons also provides a solution to the representation of multiple objects, and their relative spatial positions, in complex natural scenes. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell 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: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 35162771
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Spatial scene representations formed by self-organizing learning in a hippocampal extension of the ventral visual system.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rolls%2C+Edmund+T%2E%22">Rolls, Edmund T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tromans%2C+James+M%2E%22">Tromans, James M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stringer%2C+Simon+M%2E%22">Stringer, Simon M.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Nov2008, Vol. 28 Issue 10, p2116-2127. 12p. 1 Black and White Photograph, 1 Diagram, 4 Charts, 3 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Hippocampus+%28Brain%29%22">Hippocampus (Brain)</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+cortex%22">Visual cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Occipital+lobe%22">Occipital lobe</searchLink><br /><searchLink fieldCode="DE" term="%22Neurons%22">Neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Nervous+system%22">Nervous system</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We show in a unifying computational approach that representations of spatial scenes can be formed by adding an additional self-organizing layer of processing beyond the inferior temporal visual cortex in the ventral visual stream without the introduction of new computational principles. The invariant representations of objects by neurons in the inferior temporal visual cortex can be modelled by a multilayer feature hierarchy network with feedforward convergence from stage to stage, and an associative learning rule with a short-term memory trace to capture the invariant statistical properties of objects as they transform over short time periods in the world. If an additional layer is added to this architecture, training now with whole scenes that consist of a set of objects in a given fixed spatial relation to each other results in neurons in the added layer that respond to one of the trained whole scenes but do not respond if the objects in the scene are rearranged to make a new scene from the same objects. The formation of these scene-specific representations in the added layer is related to the fact that in the inferior temporal cortex and, we show, in the VisNet model, the receptive fields of inferior temporal cortex neurons shrink and become asymmetric when multiple objects are present simultaneously in a natural scene. This reduced size and asymmetry of the receptive fields of inferior temporal cortex neurons also provides a solution to the representation of multiple objects, and their relative spatial positions, in complex natural scenes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell 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=pbh&AN=35162771
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/j.1460-9568.2008.06486.x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 2116
    Subjects:
      – SubjectFull: Hippocampus (Brain)
        Type: general
      – SubjectFull: Visual cortex
        Type: general
      – SubjectFull: Occipital lobe
        Type: general
      – SubjectFull: Neurons
        Type: general
      – SubjectFull: Nervous system
        Type: general
    Titles:
      – TitleFull: Spatial scene representations formed by self-organizing learning in a hippocampal extension of the ventral visual system.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rolls, Edmund T.
      – PersonEntity:
          Name:
            NameFull: Tromans, James M.
      – PersonEntity:
          Name:
            NameFull: Stringer, Simon M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 11
              Text: Nov2008
              Type: published
              Y: 2008
          Identifiers:
            – Type: issn-print
              Value: 0953816X
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: European Journal of Neuroscience
              Type: main
ResultId 1