Description: Analysis of Parallel Spike Trains, Hardcover by Grun, Sonia (EDT); Rotter, Stefan (EDT), ISBN 1441956743, ISBN-13 9781441956743, Like New Used, Free shipping in the US This volume has been put together by Grün (RIKEN Brain Science Institute, Japan) and Rotter (biology and computational neuroscience, Albert-Ludwig U., Germany) under the assumption that following the move from study of single neuron activity to the study of neuronal spike trains, analysis of simultaneously recorded, parallel neuronal spike trains is the logical next research step for understanding the neuronal mechanisms underlying information processing in the brain, because it is necessary to understand the variable and context-dependent coalitions among neurons and groups of neurons. They present a textbook on the analysis of parallel spike trains that focuses on concepts and methods of correlation analysis such as synchrony, patterns, and rate covariance, but also includes an introduction to approaches for single spike trains. They pay considerable attention to the underlying theoretical assumptions of the various methods and also describe stochastic modeling tools and numerical methods for testing if the analysis method chosen serves the intended purpose. Annotation ©2011 Book News, Inc., Portland, OR ()
Price: 242.64 USD
Location: Jessup, Maryland
End Time: 2024-12-17T03:36:35.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Analysis of Parallel Spike Trains
Number of Pages: Xx, 444 Pages
Language: English
Publication Name: Analysis of Parallel Spike Trains
Publisher: Springer
Publication Year: 2010
Subject: Life Sciences / Neuroscience, Life Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology)
Type: Textbook
Item Weight: 33.2 Oz
Subject Area: Science
Item Length: 9.3 in
Author: Stefan Rotter
Item Width: 6.1 in
Series: Springer Series in Computational Neuroscience Ser.
Format: Hardcover