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Computational Neuroscience Wanpracha Chaovalitwongse

Computational Neuroscience By Wanpracha Chaovalitwongse

Computational Neuroscience by Wanpracha Chaovalitwongse


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Summary

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.

Computational Neuroscience Summary

Computational Neuroscience by Wanpracha Chaovalitwongse

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.

Computational Neuroscience Reviews

From the book reviews:

This text has a broad overlapping content concerning the biophysics, basic and clinical neurophysiology and neurosurgical approaches to computation. ... I recommend this fascinating book for neurologists, neurosurgeons, physiologists, and intermediate students seeking to augment their knowledge in this burgeoning field of computation. (Joseph J. Grenier, Amazon.com, August, 2014)

Table of Contents

Data 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.

Additional information

NLS9781461425991
9781461425991
1461425999
Computational Neuroscience by Wanpracha Chaovalitwongse
New
Paperback
Springer-Verlag New York Inc.
2012-07-01
396
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Computational Neuroscience