Cargando…

Neuronal Noise

Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations.  The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Destexhe, Alain (Autor), Rudolph-Lilith, Michelle (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Springer Series in Computational Neuroscience, 8
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario:Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations.  The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.
Descripción Física:XVIII, 458 p. online resource.
ISBN:9780387790206
ISSN:2197-1919 ;