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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.

Physics. --- Nonlinear Dynamics. --- Physiological, Cellular and Medical Topics. --- Neurobiology. --- Complex Networks. --- Signal, Image and Speech Processing. --- Systems Biology. --- Biological models. --- Physiology --- Physique --- Modèles biologiques --- Neurobiologie --- Mathematics. --- Harmonic analysis -- Congresses. --- Neural networks (Computer science). --- Neural networks (Neurobiology). --- Physics --- Physical Sciences & Mathematics --- Atomic Physics --- Wavelets (Mathematics) --- Neurosciences. --- Neural sciences --- Neurological sciences --- Neuroscience --- Wavelet analysis --- Systems biology. --- Biomathematics. --- Statistical physics. --- Medical sciences --- Nervous system --- Harmonic analysis --- Applications of Nonlinear Dynamics and Chaos Theory. --- Applications of Graph Theory and Complex Networks. --- Neurosciences --- Animal physiology --- Animals --- Biology --- Anatomy --- Models, Biological --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Mathematics --- Mathematical statistics --- Statistical methods

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Statistical science --- Discrete mathematics --- Mathematical statistics --- Mathematics --- Classical mechanics. Field theory --- General biophysics --- Neuropathology --- Computer. Automation --- grafieken --- neuronale netwerken --- biofysica --- neurologie --- statistiek --- wiskunde --- dynamica