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Neuronal Noise: 8 (Springer Series in Computational Neuroscience) by [Destexhe, Alain, Rudolph-Lilith, Michelle]
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Neuronal Noise: 8 (Springer Series in Computational Neuroscience) Kindle Edition

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Length: 458 pages
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Editorial Reviews

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 Author

Alain Destexhe is CNRS Research Director in the Laboratory for Computational Neuroscience, Gif-sur-Yvette.

Product Details

  • File Size: 12352 KB
  • Print Length: 458 pages
  • Publisher: Springer US; 1 edition (January 7, 2012)
  • Publication Date: January 7, 2012
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B007TLX0ZA
  • Text-to-Speech: Enabled
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  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #3,840,630 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Format: Hardcover
Destexhe and Rudolph-Lilith do a great job presenting the literature and expanding upon models that have been developed alongside experiments. A great resource for the field.
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