Electronic Resource

Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000843	EB0001423	612.82 Pas e	Central Library (OPAC)	Available

Detail Information

Series Title

Springer Theses

Call Number

612.82 Pas e

Publisher

Switzerland : Springer Cham., 2021

Collation

xv, 87p.:Ill

Language

English

ISBN/ISSN

978-3-030-59042-0

Classification

612.82

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Neural Networks (Computer Science)

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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