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Signal Processing in Neuroscience

  • Xiaoli┬áLi

Table of contents

  1. Front Matter
    Pages i-vi
  2. Zhaohui Li, Xiaoli Li
    Pages 39-55
  3. Zhaohui Li, Xiaoli Li
    Pages 57-75
  4. Ke Zeng, Xiaoli Li
    Pages 77-98
  5. Gaoxiang Ouyang, Xiaoli Li
    Pages 99-109
  6. Gaoxiang Ouyang, Xiaoli Li
    Pages 111-124
  7. Zhenhu Liang, Xuejing Duan, Xiaoli Li
    Pages 125-166
  8. Zhenhu Liang, Yang Bai, Ye Ren, Xiaoli Li
    Pages 167-202
  9. Gaoxiang Ouyang, Xiaoli Li
    Pages 203-214
  10. Duan Li, Xiaoli Li
    Pages 215-233
  11. Dong Cui, Xiaoli Li
    Pages 235-259
  12. Juan Wang, Xiaoli Li
    Pages 261-273

About this book

Introduction

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.

Keywords

Spike trains Local filed potential EEG Signal Processing Neural Network

Editors and affiliations

  • Xiaoli┬áLi
    • 1
  1. 1.Beijing Normal UniversityState Key Lab Cognit Neurosci & LearningBeijingChina

Bibliographic information