The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Context, cortex, and dopamine: A connectionist approach to behavior and biology in schizophrenia.
Abstract
Connectionist models are used to explore the relationship between cognitive deficits and biological abnormalities in schizophrenia. Schizophrenic deficits in tasks that tap attention and language processing are reviewed, as are biological disturbances involving prefrontal cortex and the mesocortical dopamine system. Three computer models are then presented that simulate normal and schizophrenic performance in the Stroop task, the continuous performance test, and a lexical disambiguation task. They demonstrate that a disturbance in the internal representation of contextual information can provide a common explanation for schizophrenic deficits in several attention- and language-related tasks. The models also show that these behavioral deficits may arise from a disturbance in a model parameter (gain) corresponding to the neuromodulatory effects of dopamine, in a model component corresponding to the function of prefrontal cortex.
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Citations
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Cited by
An Integrative Theory of Prefrontal Cortex Function
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Self-citationConflict monitoring and cognitive control
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Self-citationMacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000) · Science · doi:10.1126/science.288.5472.1835 · Cited by 3,666
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Common regions of the human frontal lobe recruited by diverse cognitive demands
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Metadata
- Authors
- Cohen, J. D., & Servan-Schreiber, D.
- Venue
- Psychological Review
- Published
- 1992
- Volume
- 99
- Issue
- 1
- Pages
- 45-77
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2047710557
- Cited by
- 1,479
- References
- 11
- FWCI
- 41.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
