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Titolo:
The callosal dilemma: Explaining diaschisis in the context of hemispheric rivalry via a neural network model
Autore:
Reggia, JA; Goodall, SM; Shkuro, Y; Glezer, M;
Indirizzi:
Univ Maryland, Inst Adv Comp Studies, Dept Comp Sci, College Pk, MD 20742 USA Univ Maryland College Pk MD USA 20742 Comp Sci, College Pk, MD 20742 USA Univ Maryland, Inst Adv Comp Studies, Dept Neurol, College Pk, MD 20742 USA Univ Maryland College Pk MD USA 20742 pt Neurol, College Pk, MD 20742 USA
Titolo Testata:
NEUROLOGICAL RESEARCH
fascicolo: 5, volume: 23, anno: 2001,
pagine: 465 - 471
SICI:
0161-6412(200107)23:5<465:TCDEDI>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
CORPUS-CALLOSUM; INTERHEMISPHERIC INHIBITION; CEREBRAL HEMISPHERES; COMPUTATIONAL MODEL; LATERALIZATION; BRAIN; REPRESENTATIONS; LESIONS; HUMANS; CORTEX;
Keywords:
cerebral specialization; lateralization; diaschisis; hemispheric interactions; corpus callosum; error back-propagation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
47
Recensione:
Indirizzi per estratti:
Indirizzo: Reggia, JA Univ Maryland, Inst Adv Comp Studies, Dept Comp Sci, A V Williams Bldg, College Pk, MD 20742 USA Univ Maryland A V Williams Bldg College Pk MD USA 20742 742 USA
Citazione:
J.A. Reggia et al., "The callosal dilemma: Explaining diaschisis in the context of hemispheric rivalry via a neural network model", NEUROL RES, 23(5), 2001, pp. 465-471

Abstract

It is often suggested that a major factor in diaschisis is the loss of transcallosal excitation to the intact hemisphere from the lesioned one. However, there is long-standing disagreement in the broader experimental literature about whether transcallosal interhemisphere influences in the human brain are primarily excitatory or inhibitory. Some experimental data are apparently better explained by assuming inhibitory callosal influences. Past neural network models attempting to explore this issue have encountered the same dilemma: in intact models, inhibitory callosal influences best explain strong cerebral lateralization like that occurring with language, but in lesioned models, excitatory callosal influences best explain experimentally observed hemispheric activation patterns following brain damage. We have now developed a single neural network model that can account for both types of data, i.e., both diaschisis and strong hemisphere specialization in the normal brain, by combining excitatory callosal influences with subcortical cross-midline inhibitory interactions. The results suggest that subcortical competitive processes may be a more important factor in cerebral specialization than is generally recognized.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/02/20 alle ore 13:12:43