A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers (Record no. 86099)
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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. |
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-- | txt |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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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 |
912 ## - | |
-- | ZDB-2-SXSC |
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