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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods

Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies: Statistical and Computational Methods

Pastore, Vito Paolo

Hardcover

Series: Springer Theses

Technology & EngineeringGeneral Computers

ISBN10: 3030590410
ISBN13: 9783030590413
Publisher: Springer Nature
Published: Nov 7 2020
Pages: 87
Weight: 0.72
Height: 0.31 Width: 6.14 Depth: 9.21
Language: English
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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