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Titolo:
METRICS FOR CORTICAL MAP ORGANIZATION AND LATERALIZATION
Autore:
ALVAREZ SA; LEVITAN S; REGGIA JA;
Indirizzi:
EASTERN CONNECTICUT STATE UNIV,DEPT MATH & COMP SCI WILLIMANTIC CT 06226 CARNEGIE MELLON UNIV,CTR NONLINEAR ANAL PITTSBURGH PA 15213 CARNEGIE MELLON UNIV,DEPT MATH SCI PITTSBURGH PA 15213 UNIV MARYLAND,DEPT COMP SCI COLLEGE PK MD 20742 UNIV MARYLAND,INST ADV COMP STUDIES COLLEGE PK MD 20742
Titolo Testata:
Bulletin of mathematical biology
fascicolo: 1, volume: 60, anno: 1998,
pagine: 27 - 47
SICI:
0092-8240(1998)60:1<27:MFCMOA>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Soggetto:
REORGANIZATION; PLASTICITY; MONKEYS; CORTEX; HAND;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
23
Recensione:
Indirizzi per estratti:
Citazione:
S.A. Alvarez et al., "METRICS FOR CORTICAL MAP ORGANIZATION AND LATERALIZATION", Bulletin of mathematical biology, 60(1), 1998, pp. 27-47

Abstract

Cerebral lateralization refers to the poorly understood fact that some functions are better controlled by one side of the brain than the other (e.g. handedness, language). Of particular concern here are the asymmetries apparent in cortical topographic maps that can be demonstrated electrophysiologically in mirror-image locations of the cerebral cortex. In spite of great interest in issues surrounding cerebral lateralization, methods for measuring the degree of organization and asymmetry in cortical maps are currently quite limited. In this paper, several measures are developed and used to assess the degree of organization, lateralization, and mirror symmetry in topographic map formation. These measures correct for large constant displacements as well as curving of maps. The behavior of the measures is tested on several topographic maps obtained by self-organization of an initially random artificial neural network model of a bihemispheric brain, and the results are compared with subjective assessments made by humans. (C) 1998 Society for Mathematical Biology.

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Documento generato il 29/03/20 alle ore 01:23:57