A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers (Record no. 86099)

000 -LEADER
fixed length control field 03913nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-031-23529-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730165114.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230301s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031235290
-- 978-3-031-23529-0
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
100 1# - AUTHOR NAME
Author Griffith, Tristan D.
245 12 - TITLE STATEMENT
Title A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 132 p. 40 illus., 31 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Biomedical Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1. Introduction -- 2. A Dynamic Systems View of Brain Waves -- 3. System Identification of Brain Wave Modes Using EEG -- 4. Modal Analysis of Brain Wave Dynamics -- 5. Adaptive Unknown Input Estimators -- 6. Reconstructing the Brain Wave Unknown Input -- 7. Conclusions and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis. A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics. Bridges the gap between neuroscience and engineering tools; Reveals space-time dynamics of brain waves via modal analysis and imaging; Addresses nonlinear and stochastic brain wave dynamics.
700 1# - AUTHOR 2
Author 2 Hubbard Jr., James E.
700 1# - AUTHOR 2
Author 2 Balas, Mark J.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-23529-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2023.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational neuroscience.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biochemical markers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cognitive neuroscience.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science) .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Neuroscience.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomarkers.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cognitive Neuroscience.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Models of Cognitive Processes and Neural Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1930-0336
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-- ZDB-2-SXSC

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