Wavelets in Neuroscience
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| Format: | Elektronisch E-Book |
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| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2015
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| Schriftenreihe: | Springer Series in Synergetics
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-703 Volltext Inhaltsverzeichnis Abstract |
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Datensatz im Suchindex
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| adam_text | WAVELETS IN NEUROSCIENCE
/ HRAMOV, ALEXANDER E.
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
MATHEMATICALMETHODS OF SIGNAL PROCESSING IN NEUROSCIENCE
BRIEF TOUR OF WAVELET THEORY
ANALYSIS OF SINGLE NEURON RECORDINGS
CLASSIFICATION OF NEURONAL SPIKES FROM EXTRACELLULAR RECORDINGS
WAVELET APPROACH TO THE STUDY OF RHYTHMIC NEURONAL ACTIVITY
TIME–FREQUENCY ANALYSIS OF EEG: FROM THEORY TO PRACTICE
AUTOMATIC DIAGNOSTICS AND PROCESSING OF EEG
CONCLUSION
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
WAVELETS IN NEUROSCIENCE
/ HRAMOV, ALEXANDER E.
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK EXAMINES THEORETICAL AND APPLIED ASPECTS OF WAVELET ANALYSIS
IN NEUROPHYSICS, DESCRIBING IN DETAIL DIFFERENT PRACTICAL APPLICATIONS
OF THE WAVELET THEORY IN THE AREAS OF NEURODYNAMICS AND NEUROPHYSIOLOGY
AND PROVIDING A REVIEW OF FUNDAMENTAL WORK THAT HAS BEEN CARRIED OUT IN
THESE FIELDS OVER THE LAST DECADE. CHAPTERS 1 AND 2 INTRODUCE AND REVIEW
THE RELEVANT FOUNDATIONS OF NEUROPHYSICS AND WAVELET THEORY,
RESPECTIVELY, POINTING ON ONE HAND TO THE VARIOUS CURRENT CHALLENGES IN
NEUROSCIENCE AND INTRODUCING ON THE OTHER THE MATHEMATICAL TECHNIQUES OF
THE WAVELET TRANSFORM IN ITS TWO VARIANTS (DISCRETE AND CONTINUOUS) AS A
POWERFUL AND VERSATILE TOOL FOR INVESTIGATING THE RELEVANT NEURONAL
DYNAMICS. CHAPTER 3 THEN ANALYZES RESULTS FROM EXAMINING INDIVIDUAL
NEURON DYNAMICS AND INTRACELLULAR PROCESSES. THE PRINCIPLES FOR
RECOGNIZING NEURONAL SPIKES FROM EXTRACELLULAR RECORDINGS AND THE
ADVANTAGES OF USING WAVELETS TO ADDRESS THESE ISSUES ARE DESCRIBED AND
COMBINED WITH APPROACHES BASED ON WAVELET NEURAL NETWORKS (CHAPTER 4).
THE FEATURES OF TIME-FREQUENCY ORGANIZATION OF EEG SIGNALS ARE THEN
EXTENSIVELY DISCUSSED, FROM THEORY TO PRACTICAL APPLICATIONS (CHAPTERS 5
AND 6). LASTLY, THE TECHNICAL DETAILS OF AUTOMATIC DIAGNOSTICS AND
PROCESSING OF EEG SIGNALS USING WAVELETS ARE EXAMINED (CHAPTER 7). THE
BOOK WILL BE A USEFUL RESOURCE FOR NEUROPHYSIOLOGISTS AND PHYSICISTS
FAMILIAR WITH NONLINEAR DYNAMICAL SYSTEMS AND DATA PROCESSING, AS WELL
AS FOR GRADUA TE STUDENTS SPECIALIZING IN THE CORRESPONDING AREAS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| isbn | 9783662438503 |
| language | English |
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| spellingShingle | Wavelets in Neuroscience Mathematik Biological models Neurobiology Physiology / Mathematics Physics Wavelet-Transformation (DE-588)4814181-1 gnd Nervensystem (DE-588)4041643-4 gnd Nichtlineare Dynamik (DE-588)4126141-0 gnd |
| subject_GND | (DE-588)4814181-1 (DE-588)4041643-4 (DE-588)4126141-0 |
| title | Wavelets in Neuroscience |
| title_auth | Wavelets in Neuroscience |
| title_exact_search | Wavelets in Neuroscience |
| title_full | Wavelets in Neuroscience Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Alexey N. Pavlov, Evgenia Sitnikova |
| title_fullStr | Wavelets in Neuroscience Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Alexey N. Pavlov, Evgenia Sitnikova |
| title_full_unstemmed | Wavelets in Neuroscience Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Alexey N. Pavlov, Evgenia Sitnikova |
| title_short | Wavelets in Neuroscience |
| title_sort | wavelets in neuroscience |
| topic | Mathematik Biological models Neurobiology Physiology / Mathematics Physics Wavelet-Transformation (DE-588)4814181-1 gnd Nervensystem (DE-588)4041643-4 gnd Nichtlineare Dynamik (DE-588)4126141-0 gnd |
| topic_facet | Mathematik Biological models Neurobiology Physiology / Mathematics Physics Wavelet-Transformation Nervensystem Nichtlineare Dynamik |
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