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Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. Topics also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiological system. The second edition has been thoroughly updated and augmented by two extensive chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added.

Brain. --- Nervous system. --- Electrophysiology. --- Animal electricity --- Bioelectricity --- Electricity, Animal --- Electrobiology --- Neurology --- Physiology --- Electricity --- Organs (Anatomy) --- Neurosciences --- Cerebrum --- Mind --- Central nervous system --- Head --- Physiological effect --- Medical physics. --- Mathematics. --- Neurosciences. --- Artificial intelligence. --- Biological and Medical Physics, Biophysics. --- Medical and Radiation Physics. --- Complex Systems. --- Applications of Mathematics. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Math --- Science --- Health physics --- Health radiation physics --- Medical radiation physics --- Radiotherapy physics --- Radiation therapy physics --- Biophysics --- Physics --- Biophysics. --- Biological physics. --- Radiation. --- Statistical physics. --- Dynamical systems. --- Applied mathematics. --- Engineering mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mathematical statistics --- Radiology --- Biological physics --- Biology --- Statistical methods

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Physics

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General biophysics --- Statistical physics --- Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical physics --- 681.3*A0 --- 681.3*I5 --- 681.3*J0 --- General --- Pattern recognition (Computing methodologies) --- Computerwetenschap--?*J0 --- 681.3*I5 Pattern recognition (Computing methodologies) --- 681.3*A0 General

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Starting from a rather elementary level, this volume includes a self-contained, concise introduction into the quantum theory of matter and develops in detail the quantum theory of light. It presents the approaches needed to cope with the various interaction processes between light and matter and illustrates them by various examples. Recent developments such as the dynamic Stark effect and quantum beats are also covered.

Light --- Lasers --- Nonlinear optics --- Quantum optics --- Lasers. --- Light. --- Nonlinear optics. --- Quantum optics. --- 535 --- 535 Optics --- Optics --- Electromagnetic waves --- Light sources --- Spectrum analysis --- 535.374 --- 535.374 Amplification of radiation by stimulated emission --- Amplification of radiation by stimulated emission --- Optics. Quantum optics --- Lumière --- Optique non linéaire --- Optique quantique --- Optica --- Lumière --- Optique non linéaire --- Optics, Nonlinear --- Lumière. --- Optique non linéaire. --- Optique quantique. --- Photons --- Quantum theory --- Lumière. --- Optique non linéaire.

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