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Apprentissage - Institut des Sciences cognitives - CNRS

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Circuits <strong>des</strong> GGBModels in science tend to reassure and appease researchers who do not like to wanderalone in the universe of knowledge. However, models may have a perverse effect, suchas the selective neglect of data that do not fit into the model (modellus deformansdisease). It would be unwise to rush into the formulation of a new basal ganglia modeluntil the real significance of the enormous amount of new data on basal gangliabecomes clear. Furthermore, formulating models is a difficult task. On the one hand,efficient models have to be simple, but simple models can provide only part of thereality and are thus bound to be wrong (for example, current basal ganglia model). Onthe other hand, an elaborated model that would embody all the complexities of a givenreality (for example, any new basal ganglia model) is doomed to be useless. Wetherefore suggest to stay away from basal ganglia model for some time. This will giveus the opportunity to appreciate the real value of raw data and to realize that the beautyof nature lies in details.”Parent A. & Cicchetti F.Movement DisordersVol. 13, N°2, 1998, pp. 199-202.

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