Signal Processing in Neuroscience

Xiaoli Li

ISBN 10: 9811018219 / ISBN 13: 9789811018213

Published by Springer Nature Singapore, Springer Nature Singapore, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 sensorssuch 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.

Seller Inventory # 9789811018213

Bibliographic Details

• Title: Signal Processing in Neuroscience
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2016
• Language: English
• ISBN 10: 9811018219
• ISBN 13: 9789811018213
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 22D millimeters 241 millimeters width by 160 millimeters height by 22 millimeters depth
• Weight: 612 grams

About this title

Synopsis

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 sensorssuch 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.

About the Author

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.