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Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

Statistical and Computational Methods

  • Book
  • © 2021

Overview

Authors:
  1. Vito Paolo Pastore

    1. Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Genova, Italy

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  • Nominated as an outstanding Ph.D. thesis by the University of Genoa, Italy
  • Describes statistical methods to infer functional connectivity in in vitro neuronal assemblies
  • Explains the computation of the most significant functional connectivity graph
  • Shows how to apply graph theory to extract topological features from the connectivity graph

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (3 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    • Vito Paolo Pastore
    Pages 1-10

  3. Materials and Methods

    • Vito Paolo Pastore
    Pages 11-31

  4. Results

    • Vito Paolo Pastore
    Pages 33-80

  5. Back Matter

    Pages 81-87
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Keywords

About this book

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.

  

Authors and Affiliations

  • Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Genova, Italy

    Vito Paolo Pastore

Bibliographic Information

  • Book Title: Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

  • Book Subtitle: Statistical and Computational Methods

  • Authors: Vito Paolo Pastore

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-030-59042-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-59041-3Published: 07 November 2020

  • Softcover ISBN: 978-3-030-59044-4Published: 07 November 2021

  • eBook ISBN: 978-3-030-59042-0Published: 06 November 2020

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XV, 87

  • Number of Illustrations: 4 b/w illustrations, 39 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Complexity, Coding and Information Theory, Graph Theory

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