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Neuronal Noise / by Alain Destexhe, Michelle Rudolph-Lilith
(Springer Series in Computational Neuroscience ; 8)
| データ種別 | 電子ブック |
|---|---|
| 著者標目 | *Destexhe, Alain author Rudolph-Lilith, Michelle author SpringerLink (Online service) |
| 出版情報 | 製作表示:Boston, MA : Springer US , 2012 |
書誌詳細を非表示
| 巻次 | ISBN:9780387790206 |
|---|---|
| 大きさ | XVIII, 458 p : online resource |
| 一般注記 | 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 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 HTTP:URL=http://dx.doi.org/10.1007/978-0-387-79020-6 |
| 件 名 | LCSH:Medicine LCSH:Neurosciences LCSH:Neurobiology FREE:Biomedicine FREE:Neurosciences FREE:Neurobiology |
| 分 類 | LCC:RC321-580 DC23:612.8 |
| 書誌ID | OB00006783 |
| ISBN | 9780387790206 |