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(Ebook) Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods by Vito Paolo Pastore ISBN 9783030590413, 9783030590420, 3030590410, 3030590429

  • SKU: EBN-22497190
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Instant download (eBook) Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods after payment.
Authors:Vito Paolo Pastore
Year:2021
Editon:1st ed.
Publisher:Springer International Publishing;Springer
Language:english
File Size:4.64 MB
Format:pdf
ISBNS:9783030590413, 9783030590420, 3030590410, 3030590429
Categories: Ebooks

Product desciption

(Ebook) Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods by Vito Paolo Pastore ISBN 9783030590413, 9783030590420, 3030590410, 3030590429

This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The algorithms are developed with the aim of maximizing computational accuracy and efficiency, while faithfully reconstructing both the inhibitory and excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to use graph theory to extract the topological features of the computed network. A particular feature is that the methods used and extended at the purpose of this work are reported in a fairly completed, yet concise manner, together with the necessary mathematical fundamentals and explanations to understand their application. Furthermore, all these methods have been embedded in the user-friendly open source software named SpiCoDyn, which is also introduced here. All in all, this book provides researchers and graduate students in bioengineering, neurophysiology and computer science, with a set of simplified and reduced models for studying functional connectivity in in silico biological neuronal networks, thus overcoming the complexity of brain circuits.
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