Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
A FUNCTIONAL-MODEL OF SOME PARKINSONS-DISEASE SYMPTOMS USING A GUIDEDPROPAGATION NETWORK
Autore:
TOFFANONIOCHE C; BEROULE D; TASSIN JP;
Indirizzi:
CNRS,LIMSI,BP 133 F-91403 ORSAY FRANCE CNRS,LIMSI F-91403 ORSAY FRANCE CHAIRE NEUROPHARMACOL F-75231 PARIS 05 FRANCE
Titolo Testata:
Artificial intelligence in medicine
fascicolo: 3, volume: 14, anno: 1998,
pagine: 237 - 258
SICI:
0933-3657(1998)14:3<237:AFOSPS>2.0.ZU;2-Z
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURONS; RESPONSES; SEROTONIN; NORADRENALINE; DOPAMINE; BEHAVIOR; MOVEMENT; STIMULI; RATS;
Keywords:
PARKINSONS DISEASE; NEUROMODULATION; PATTERN GENERATION; COMPUTATIONAL MODEL; COINCIDENCE DETECTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
43
Recensione:
Indirizzi per estratti:
Citazione:
C. Toffanonioche et al., "A FUNCTIONAL-MODEL OF SOME PARKINSONS-DISEASE SYMPTOMS USING A GUIDEDPROPAGATION NETWORK", Artificial intelligence in medicine, 14(3), 1998, pp. 237-258

Abstract

This paper presents a computational model of Parkinson's Disease (PD)symptoms. Based on psychophysiological data, the underlying system (Guided Propagation Network) implements coincidence detection between internal flows and stimuli, and can be dynamically controlled for representing the action of neuromodulators such as dopamine (DA). By modelling the DA deficit involved in PD through a decrease of response thresholds in the production modules of a GPN, four symptoms are observed inexperiments carried out on a computer simulation, and then attributedto a lack of synchrony between 'proprioceptive stimuli' and internal flows: reduced intensity, increased rate, saccades and spontaneous repetitions. (C) 1998 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/07/20 alle ore 04:12:59