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Cited by 215

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

A connectionist approach to the prefrontal cortex

·1993·The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

Recent data from studies of the prefrontal cortex (PFC) in humans and laboratory animals are reviewed with particular reference to the anatomical substrates of prefrontal neuropsychological function in health and disease. The PFC has been shown to have a unique pattern of supramodal connectivity with intracortical and subcortical circuits that place the PFC in an anatomical position to subserve "executive" cognitive functions and modulate limbic information to relate to basal ganglia circuits in a highly specific manner and to uniquely control the neurochemical elements of attention and reward. PFC connectivity is also consistent with current hypotheses about prefrontal neuropsychology, which emphasize conscious, goal-directed behavior guided by past experience. PFC connectivity explains the frequency with which prefrontal dysfunction is seen in disease states, which, on the basis of neuroimaging and neuropathology data, can be categorized as either intrinsic or dysconnection disorders.

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Crossref · 10.1176/jnp.5.3.241

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Metadata

Venue
The Journal of Neuropsychiatry and Clinical Neurosciences
Published
1993-08-01
Volume
5
Issue
3
Pages
241-253
ISSN
  • 0895-0172 (ISSN-L)
  • 1545-7222
OpenAlex
W126907670
Cited by
215
References
10
FWCI
7.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A connectionist approach to the prefrontal cortex. https://app.cochat.ai/papers/10.1176/jnp.5.3.241
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A connectionist approach to the prefrontal cortex. (1993). The Journal of Neuropsychiatry and Clinical Neurosciences. https://doi.org/10.1176/jnp.5.3.241

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.