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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Springer Series in Computational Neuroscience,
8 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 1 Introduction
- 2 Basics
- 3 Synaptic noise
- 4 Models of synaptic noise
- 5 Integrative properties in the presence of noise6 Recreating synaptic noise using dynamic-clamp
- 7 The mathematics of synaptic noise
- 8 Analyzing synaptic noise
- 9 Case studies
- 10 Conclusions and perspectives A Numerical integration of stochastic differential equations
- B Distributed Generator Algorithm
- C The Fokker-Planck formalism
- D The RT-NEURON interface for dynamic-clamp
- References
- Index.