Neuronal Noise
Language: English
Published by Springer, 2012
Series: Book 8 of 17 - Springer Series in Computational Neuroscience
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 210.39
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9780387790190
- Title
- Neuronal Noise
- Author
- Michelle Rudolph-Lilith
- Publisher
- Springer
- Publication year
- 2012
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0387790195
- ISBN 13
- 9780387790190
- Item weight
- 823 grams
- Dimensions
- 241x160x29 mm
- Series
- Book 8 of 17: Springer Series in Computational Neuroscience
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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