View in EDS

A computational approach to memory deficits in schizophrenia

Saved in:
Bibliographic Details
Title: A computational approach to memory deficits in schizophrenia
Authors: Meeter, M. meeter@psy.uva.nl, Murre, J.M.J.1 jaap@murre.com, Talamini, L.M.1 talamini@psy.uva.nl
Source: Neurocomputing. Jun2002, Vol. 44-46, p929. 8p.
Subjects: Memory disorders, Neuropsychology, Schizophrenia
Abstract: Episodic memory impairment is one of the most reliable neuropsychological findings in schizophrenia. It has been suggested that medial temporal lobe abnormalities in schizophrenia underlie this impairment. We suggest that the specific memory deficits in schizophrenia may be caused by abnormal hippocampo-cortical communication via parahippocampal areas. We have used connectionist simulations to investigate this notion. The simulations involve list learning in a model that incorporates characteristics of the hippocampal and parahippocampal region. In this model context is used to store and recall episodic memories. Reduction of the nodes in the parahippocampal module of the model resulted in a schizophrenia-like memory deficit profile. [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
Header DbId: egs
DbLabel: Engineering Source
An: 7826572
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A computational approach to memory deficits in schizophrenia
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Meeter%2C+M%2E%22">Meeter, M.</searchLink><i> meeter@psy.uva.nl</i><br /><searchLink fieldCode="AR" term="%22Murre%2C+J%2EM%2EJ%2E%22">Murre, J.M.J.</searchLink><relatesTo>1</relatesTo><i> jaap@murre.com</i><br /><searchLink fieldCode="AR" term="%22Talamini%2C+L%2EM%2E%22">Talamini, L.M.</searchLink><relatesTo>1</relatesTo><i> talamini@psy.uva.nl</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>. Jun2002, Vol. 44-46, p929. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Memory+disorders%22">Memory disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychology%22">Neuropsychology</searchLink><br /><searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Episodic memory impairment is one of the most reliable neuropsychological findings in schizophrenia. It has been suggested that medial temporal lobe abnormalities in schizophrenia underlie this impairment. We suggest that the specific memory deficits in schizophrenia may be caused by abnormal hippocampo-cortical communication via parahippocampal areas. We have used connectionist simulations to investigate this notion. The simulations involve list learning in a model that incorporates characteristics of the hippocampal and parahippocampal region. In this model context is used to store and recall episodic memories. Reduction of the nodes in the parahippocampal module of the model resulted in a schizophrenia-like memory deficit profile. [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=7826572
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/S0925-2312(02)00493-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 929
    Subjects:
      – SubjectFull: Memory disorders
        Type: general
      – SubjectFull: Neuropsychology
        Type: general
      – SubjectFull: Schizophrenia
        Type: general
    Titles:
      – TitleFull: A computational approach to memory deficits in schizophrenia
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Meeter, M.
      – PersonEntity:
          Name:
            NameFull: Murre, J.M.J.
      – PersonEntity:
          Name:
            NameFull: Talamini, L.M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2002
              Type: published
              Y: 2002
          Identifiers:
            – Type: issn-print
              Value: 09252312
          Numbering:
            – Type: volume
              Value: 44-46
          Titles:
            – TitleFull: Neurocomputing
              Type: main
ResultId 1