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  • © 2016

Signal Processing in Neuroscience

Editors:

  • Highlighting the contribution of signal processing in the area of computational neuroscience

  • Introducing the cutting-edge development in neural signaling processing

  • Written by experts in this field

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-vi
  2. Causality of Spike Trains Based on Entropy

    • Zhaohui Li, Xiaoli Li
    Pages 39-55
  3. Quantification of Spike-LFP Synchronization

    • Zhaohui Li, Xiaoli Li
    Pages 57-75
  4. Artifact Removal in EEG Recordings

    • Ke Zeng, Xiaoli Li
    Pages 77-98
  5. Order Time Series Analysis of Neural Signals

    • Gaoxiang Ouyang, Xiaoli Li
    Pages 99-109
  6. Dynamical Similarity Analysis of EEG Recordings

    • Gaoxiang Ouyang, Xiaoli Li
    Pages 111-124
  7. Entropy Measures in Neural Signals

    • Zhenhu Liang, Xuejing Duan, Xiaoli Li
    Pages 125-166
  8. Synchronization Measures in EEG Signals

    • Zhenhu Liang, Yang Bai, Ye Ren, Xiaoli Li
    Pages 167-202
  9. Estimating Coupling Direction Between Neuronal Populations

    • Gaoxiang Ouyang, Xiaoli Li
    Pages 203-214
  10. The Comodulation Measure of Neuronal Oscillations

    • Duan Li, Xiaoli Li
    Pages 215-233
  11. Multivariate EEG Synchronization Strength Measures

    • Dong Cui, Xiaoli Li
    Pages 235-259
  12. Cross-Frequency Coupling in Neural Oscillations

    • Juan Wang, Xiaoli Li
    Pages 261-273

About this book

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 as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date.

Editors and Affiliations

  • Beijing Normal University, State Key Lab Cognit Neurosci & Learning, Beijing, China

    Xiaoli Li

About the editor

Dr. Xiaoli Li is a Professor from State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University. He is the committee member of Medical Neural Engineering Branch of Chinese Society of Biomedical Engineering. He serves as the editor for the journal “International Journal of Tomography & Stimulation” and “International Journal of Applied Mathematics & Statistics”. Prof. Li’s research interests include neural engineering, bio-signal processing and intelligent monitoring. He has published more than 100 research articles on different international journals.

Bibliographic Information

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access