Computational Neuroscience

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Wanpracha Chaovalitwongse, Panos M. Pardalos, Petros Xanthopoulos
Springer Science & Business Media, Jul 3, 2010 - Medical - 396 pages
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???????????????????????????????????????? ??????????????????. ??????????(460?. ?-360?. ?. ) Thereareinfacttwothings,scienceandopinion;theformerbegetsknowledge,the latterignorance. Hippocrates(460BC-360BC) This book represents a collection of recent advances in computational studies in neuroscience research that practically applies to a collaborative and integrative environment in engineering and medical domains. This work has been designed to address the explosion of interest by academic researchers and practitioners in highly-effective coordination between computational models and tools and quan- tative investigation of neuroscienti?c data. To bridge the vital gap between science and medicine, this book brings together diverse research areas ranging from me- cal signal processing, image analysis, and data mining to neural network modeling, regulation of gene expression, and brain dynamics. We hope that this work will also be of value to investigators and practitioners in academic institutions who become involved in computational modeling as an aid in translating information in neuroscienti?c data to their colleagues in medical - main. This volume will be very appealing to graduate (and advanced undergraduate) students, researchers, and practitioners across a wide range of industries (e. g. , ph- maceutical, chemical, biological sciences), who require a detailed overview of the practical aspects of computational modeling in real-life neuroscience problems. For this reason, our audience is assumed to be very diverse and heterogenous, including: vii viii Preface • researchers from engineering, computer science, statistics, and mathematics - mains as well as medical and biological scientists; • physicians working in scienti?c research to understand how basic science can be linked with biological systems.
 

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Contents

College ParkMD20742 USA Sylvain Baillet
Data Mining
Investigating Functional Cooperation in the Human
Brain UsingSimple GraphTheoreticMethods Michael L Anderson Joan Brumbaugh and Aysu Şuben
Blind Source Separation of Concurrent DiseaseRelated Patterns from EEG in CreutzfeldtJakob Diseasefor
A Genetic Classifier Account for the Regulation
Neuroelectromagnetic Source Imaging of Brain
Reinforcement Learning Algorithms
AltannarChinchuluun
NeuralNetworkModeling ofVoluntary SingleJoint
MoleculeInspired Methodsfor CoarseGrain Multi System Optimization Max H Garzonand AndrewJ Neel
AndreasSpaniasandLeon Iasemidis 16 An Optimization Approachfor Finding a Spectrum
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