Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies (Record no. 76561)

000 -LEADER
fixed length control field 03462nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-030-59042-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214626.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201106s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030590420
-- 978-3-030-59042-0
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
100 1# - AUTHOR NAME
Author Pastore, Vito Paolo.
245 10 - TITLE STATEMENT
Title Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies
Sub Title Statistical and Computational Methods /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 87 p. 43 illus., 39 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Theses, Recognizing Outstanding Ph.D. Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Materials and Methods -- Results -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc 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. .
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-59042-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neurotechnology (Bioengineering).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear theories.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Coding theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph theory.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neuroengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied Dynamical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Coding and Information Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5061
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.