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Neuronal Noise (Springer Series in Computational Neuroscience) 2012th Edition

1 customer review
ISBN-13: 978-0387790190
ISBN-10: 0387790195
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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.


Product Details

  • Series: Springer Series in Computational Neuroscience (Book 8)
  • Hardcover: 458 pages
  • Publisher: Springer; 2012 edition (January 6, 2012)
  • Language: English
  • ISBN-10: 0387790195
  • ISBN-13: 978-0387790190
  • Product Dimensions: 9.2 x 6.4 x 1.1 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,002,545 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

By Matthew R Lewis on September 3, 2012
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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Neuronal Noise (Springer Series in Computational Neuroscience)
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