Signal Processing in Neuroscience
This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Brief history and development of electrophysiological recording techniques in neuroscience
- Adaptive Spike Sorting with a Gaussian Mixture Model
- Causality of Spike Trains Based on Entropy
- Quantification of Spike-LFP Synchronization
- Artifact removal in EEG recordings
- Order Time Series Analysis of Neural Signals
- Dynamical Similarity Analysis of EEG Recordings
- Entropy Measures in Neural Signals
- Synchronization Measures in EEG Signals
- Estimating Coupling Direction between Neuronal Populations
- The comodulation measure of neuronal oscillations
- Multivariate EEG synchronization strength measures
- Cross-Frequency Coupling in Neural Oscillations
- Nonnegative Matrix and Tensor Decomposition of EEG.