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Estimating functional connectivity a...

Pastore, Vito Paolo.

Estimating functional connectivity and topology in large-scale neuronal assembliesstatistical and computational methods /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Estimating functional connectivity and topology in large-scale neuronal assembliesby Vito Paolo Pastore.
其他題名:	statistical and computational methods /
作者:	Pastore, Vito Paolo.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xv, 87 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Neural networks (Neurobiology)Mathematical models.
電子資源:	https://doi.org/10.1007/978-3-030-59042-0
ISBN:	9783030590420$q(electronic bk.)

Estimating functional connectivity and topology in large-scale neuronal assembliesstatistical and computational methods /
Pastore, Vito Paolo.

Estimating functional connectivity and topology in large-scale neuronal assembliesstatistical and computational methods /[electronic resource] :by Vito Paolo Pastore. - Cham :Springer International Publishing :2021. - xv, 87 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Materials and Methods -- Results -- Conclusion.

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.

ISBN: 9783030590420$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59042-0doiSubjects--Topical Terms:

273715
Neural networks (Neurobiology)
--Mathematical models.

LC Class. No.: QP363.3 / .P37 2021

Dewey Class. No.: 612.82

Estimating functional connectivity and topology in large-scale neuronal assembliesstatistical and computational methods /
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