Computational Neuroscience
The 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...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2010, 2010
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Edition: | 1st ed. 2010 |
Series: | Springer Optimization and Its Applications
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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–LundborgDisease: A Pilot Study
- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit