Combating fuzziness with computational modeling.

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Title: Combating fuzziness with computational modeling.
Authors: Talamini, L. M., Meeter, M., Murre, J. M. J.
Source: Behavioral & Brain Sciences. Feb2003, Vol. 26 Issue 1, p107-108. 2p.
Subjects: Schizophrenia -- Physiological aspects, Schizophrenia, Neural receptors, Disabilities, Brain -- Electromechanical analogies, Brain physiology
Abstract: Phillips & Silverstein's ambitious link between receptor abnormalities and the symptoms of schizophrenia involves a certain amount of fuzziness. No detailed mechanism is suggested through which the proposed abnormality would lead to psychological traits. We propose that detailed simulation of brain regions, using model neural networks, can aid in understanding the relation between biological abnormality and psychological dysfunction in schizophrenia. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral & Brain Sciences is the property of Cambridge University Press 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
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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: Combating fuzziness with computational modeling.
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+%26+Brain+Sciences%22">Behavioral & Brain Sciences</searchLink>. Feb2003, Vol. 26 Issue 1, p107-108. 2p.
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  Data: <searchLink fieldCode="DE" term="%22Schizophrenia+--+Physiological+aspects%22">Schizophrenia -- Physiological aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+receptors%22">Neural receptors</searchLink><br /><searchLink fieldCode="DE" term="%22Disabilities%22">Disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+--+Electromechanical+analogies%22">Brain -- Electromechanical analogies</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+physiology%22">Brain physiology</searchLink>
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  Label: Abstract
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  Data: Phillips & Silverstein's ambitious link between receptor abnormalities and the symptoms of schizophrenia involves a certain amount of fuzziness. No detailed mechanism is suggested through which the proposed abnormality would lead to psychological traits. We propose that detailed simulation of brain regions, using model neural networks, can aid in understanding the relation between biological abnormality and psychological dysfunction in schizophrenia. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Behavioral & Brain Sciences is the property of Cambridge University Press 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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1017/S0140525X03460020
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      – Code: eng
        Text: English
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      – SubjectFull: Schizophrenia
        Type: general
      – SubjectFull: Neural receptors
        Type: general
      – SubjectFull: Disabilities
        Type: general
      – SubjectFull: Brain -- Electromechanical analogies
        Type: general
      – SubjectFull: Brain physiology
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      – TitleFull: Combating fuzziness with computational modeling.
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              Text: Feb2003
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              Y: 2003
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