Functional consequences of model complexity in rhythmic systems: II. Systems performance of model and hybrid oscillators.
J Neural Eng
; 4(3): 189-96, 2007 Sep.
Article
en En
| MEDLINE
| ID: mdl-17873420
ABSTRACT
Neural models are increasingly being used as design components of physical systems. In order to best use models in these novel contexts, we must develop design rules that describe how decisions in model construction relate to the functional performance of the resulting system. In the accompanying paper, we described a series of related neuron models of varying complexity. Here, we use these models to build several half-center oscillators, and investigate how model complexity influences the robustness and flexibility of these oscillators. Our results indicate that model complexity has a significant effect on the robustness and flexibility of systems that incorporate neural models.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Periodicidad
/
Relojes Biológicos
/
Algoritmos
/
Potenciales de Acción
/
Modelos Neurológicos
/
Red Nerviosa
/
Neuronas
Tipo de estudio:
Prognostic_studies
Límite:
Animals
/
Humans
Idioma:
En
Revista:
J Neural Eng
Asunto de la revista:
NEUROLOGIA
Año:
2007
Tipo del documento:
Article
País de afiliación:
Estados Unidos