Functional consequences of model complexity in rhythmic systems: I. Systematic reduction of a bursting neuron model.
J Neural Eng
; 4(3): 179-88, 2007 Sep.
Article
en En
| MEDLINE
| ID: mdl-17873419
ABSTRACT
Neural models are increasingly being used as design components of physical systems. In order to most effectively utilize neuronal models in these novel contexts, we need to develop design rules for neuronal systems that relate how model design affects overall system performance. In this paper and a companion article, we investigate how the complexity of a neural model affects the performance of a two-cell oscillator built from the model. In this paper, we create a series of related neuron models with different mathematical complexity. Starting with a complex mechanistic model of a bursting neuron, we use a variety of techniques to create a series of simplified neuron models. These three reduced models produce bursting activity that is qualitatively very similar to the original model. In the following companion article, we investigate the functional performance of oscillators built from these 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
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