04895nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137082001200172082001200184100004100196245013400237264006700371300003300438336002600471337002600497338003600523347002400559490006500583505192700648520125602575650001703831650001903848650003503867650002803902650001703930650005403947650001904001650002804020650005404048700003204102700003504134710003404169773002004203776003604223830006504259856010104324978-0-387-88630-5DE-He21320260521092017.0cr nn 008mamaa100702s2010    xxu|    s    |||| 0|eng d  a9780387886305  a997803878863057 a10.1007/978-0-387-88630-52doi04a51822304a5182231 aChaovalitwongse, Wanpracha.eeditor.10aComputational Neuroscienceh[electronic resource] /cedited by Wanpracha Chaovalitwongse, Panos M. Pardalos, Petros Xanthopoulos. 1aNew York, NY :bSpringer New York :bImprint: Springer,c2010.  aXVI, 396p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringer Optimization and Its Applications,x1931-6828 ;v380 aData Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt-Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson's Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht-Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit.  aThe human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience. 0aMATHEMATICS. 0aNEUROSCIENCES. 0aCOMPUTER SCIENCExMATHEMATICS. 0aBIOMEDICAL ENGINEERING.14aMATHEMATICS.24aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.24aNEUROSCIENCES.24aBIOMEDICAL ENGINEERING.24aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.1 aPardalos, Panos M.eeditor.1 aXanthopoulos, Petros.eeditor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387886299 0aSpringer Optimization and Its Applications,x1931-6828 ;v3840uhttp://dx.doi.org/10.1007/978-0-387-88630-5zVer el texto completo en las instalaciones del CICY