Overview
- Outlines the current research and technology trends and future prospects of the emerging multidisciplinary field of neuro-engineering and neural computing
- Covers diverse topics, ranging from fundamental theoretical aspects and technologies to novel analysis techniques, as well as a variety of applications
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Series in BioEngineering (SERBIOENG)
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About this book
This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.
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Keywords
Table of contents (15 chapters)
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Neuro Engineering
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Neural Computation
Editors and Affiliations
Bibliographic Information
Book Title: Emerging Trends in Neuro Engineering and Neural Computation
Editors: Asim Bhatti, Kendall H. Lee, Hamid Garmestani, Chee Peng Lim
Series Title: Series in BioEngineering
DOI: https://doi.org/10.1007/978-981-10-3957-7
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-3955-3Published: 03 April 2017
Softcover ISBN: 978-981-13-5009-2Published: 11 December 2018
eBook ISBN: 978-981-10-3957-7Published: 23 March 2017
Series ISSN: 2196-8861
Series E-ISSN: 2196-887X
Edition Number: 1
Number of Pages: X, 264
Number of Illustrations: 22 b/w illustrations, 86 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Neurosciences, Systems Biology, Biomaterials, Computational Intelligence, Neurobiology