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Rules relating connections to cortical structure in primate prefrontal cortex

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Rules relating connections to cortical structure in primate prefrontal cortex. / Barbas, H.; Hilgetag, C.C.

In: NEUROCOMPUTING, Vol. 44-46, 01.06.2002, p. 301-308.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Barbas, H & Hilgetag, CC 2002, 'Rules relating connections to cortical structure in primate prefrontal cortex', NEUROCOMPUTING, vol. 44-46, pp. 301-308. https://doi.org/10.1016/s0925-2312(02)00356-9

APA

Barbas, H., & Hilgetag, C. C. (2002). Rules relating connections to cortical structure in primate prefrontal cortex. NEUROCOMPUTING, 44-46, 301-308. https://doi.org/10.1016/s0925-2312(02)00356-9

Vancouver

Barbas H, Hilgetag CC. Rules relating connections to cortical structure in primate prefrontal cortex. NEUROCOMPUTING. 2002 Jun 1;44-46:301-308. https://doi.org/10.1016/s0925-2312(02)00356-9

Bibtex

@article{220c93370ab54e27b9369bf3bddea9a3,
title = "Rules relating connections to cortical structure in primate prefrontal cortex",
abstract = "According to the structural model of prefrontal cortex, the pattern of corticocortical connections is intricately linked to cortical architecture (Cereb. Cortex 7 (1997) 635). We further explored this model by using quantitative methods to describe the structure and connections of prefrontal cortices. Multi-parameter analyses distinguished different cortical types, positioning at one extreme medial and orbitofrontal (limbic) cortices, and at the other extreme, lateral (eulaminate) cortices. The structural model accurately predicted the laminar pattern of connections, and the relative distribution of connections within cortical layers, based on cortical type. This model may provide the foundation to predict the nature of corticocortical processing and its disruption in psychiatric and neurologic diseases, where neuropathology affects specific types of neurons and layers.",
author = "H. Barbas and C.C. Hilgetag",
year = "2002",
month = jun,
day = "1",
doi = "10.1016/s0925-2312(02)00356-9",
language = "English",
volume = "44-46",
pages = "301--308",
journal = "NEUROCOMPUTING",
issn = "0925-2312",
publisher = "ELSEVIER SCIENCE BV",

}

RIS

TY - JOUR

T1 - Rules relating connections to cortical structure in primate prefrontal cortex

AU - Barbas, H.

AU - Hilgetag, C.C.

PY - 2002/6/1

Y1 - 2002/6/1

N2 - According to the structural model of prefrontal cortex, the pattern of corticocortical connections is intricately linked to cortical architecture (Cereb. Cortex 7 (1997) 635). We further explored this model by using quantitative methods to describe the structure and connections of prefrontal cortices. Multi-parameter analyses distinguished different cortical types, positioning at one extreme medial and orbitofrontal (limbic) cortices, and at the other extreme, lateral (eulaminate) cortices. The structural model accurately predicted the laminar pattern of connections, and the relative distribution of connections within cortical layers, based on cortical type. This model may provide the foundation to predict the nature of corticocortical processing and its disruption in psychiatric and neurologic diseases, where neuropathology affects specific types of neurons and layers.

AB - According to the structural model of prefrontal cortex, the pattern of corticocortical connections is intricately linked to cortical architecture (Cereb. Cortex 7 (1997) 635). We further explored this model by using quantitative methods to describe the structure and connections of prefrontal cortices. Multi-parameter analyses distinguished different cortical types, positioning at one extreme medial and orbitofrontal (limbic) cortices, and at the other extreme, lateral (eulaminate) cortices. The structural model accurately predicted the laminar pattern of connections, and the relative distribution of connections within cortical layers, based on cortical type. This model may provide the foundation to predict the nature of corticocortical processing and its disruption in psychiatric and neurologic diseases, where neuropathology affects specific types of neurons and layers.

U2 - 10.1016/s0925-2312(02)00356-9

DO - 10.1016/s0925-2312(02)00356-9

M3 - SCORING: Journal article

VL - 44-46

SP - 301

EP - 308

JO - NEUROCOMPUTING

JF - NEUROCOMPUTING

SN - 0925-2312

ER -