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Neural Modelling: Neural Information Processing and Selected Applications

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Abstract

The main purpose of neural modelling is to describe, with theories and principles of engineering and computer science, mental processes by which living organisms perceive, act, learn, and remember such that the operation of the nervous systems can be better understood. These models serve as platforms for simulating brain activities, leading not only to deeper insights to how human brain works but also why it fails. The models can then be applied to assist developing solutions and devices for alleviating brain disorders and restoring lost body functions.

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Acknowledgement

This work was supported in part by the Hong Kong Innovation Technology Fund (ITF), the 973 Project Fund (2010CB732606) and the Guangdong LCHT Innovation Research Team Fund in China. The authors are grateful to Standard Telecommunication Ltd., Bird International Ltd., Bright Steps Corporation and PCCW for their supports to the ITF projects. The authors are thankful to Dr. Ting Ma and Ms. Yingying Gu for their contributions to an earlier version of this work.

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Authors and Affiliations

  1. Department of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong

    Carmen C. Y. Poon

  2. Department of Electronic Engineering, Joint Research Center for Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Yali Zheng & Yuan-Ting Zhang

  3. Key Laboratory for Health Informatics, Chinese Academy of Sciences, Shenzhen, China

    Yuan-Ting Zhang

Authors
  1. Carmen C. Y. Poon
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  2. Yali Zheng
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  3. Yuan-Ting Zhang
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Corresponding author

Correspondence to Yuan-Ting Zhang .

Editor information

Editors and Affiliations

  1. Deptarment of Biomedical Engineering, 7-105 Hasselmo Hall, University of Minnesota, 312 Church Street SE., Minneapolis, 55455, Minnesota, USA

    Bin He

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Poon, C.C.Y., Zheng, Y., Zhang, YT. (2013). Neural Modelling: Neural Information Processing and Selected Applications. In: He, B. (eds) Neural Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5227-0_7

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  • DOI: https://doi.org/10.1007/978-1-4614-5227-0_7

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