Recent Progress in Brain and Cognitive Engineering

  • Seong-Whan Lee
  • Heinrich H. Bülthoff
  • Klaus-Robert Müller
Part of the Trends in Augmentation of Human Performance book series (TAHP, volume 5)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Non-invasive Brain-Computer Interface

    1. Front Matter
      Pages 1-1
    2. Kyuwan Choi, Byoung-Kyong Min
      Pages 3-18
    3. Jeong-Woo Kim, Il-Hwa Kim, Stefan Haufe, Seong-Whan Lee
      Pages 19-33
    4. Siamac Fazli, Min-Ho Lee, Seul-Ki Yeom, John Williamson, Isabella Schlattner, Yiyu Chen et al.
      Pages 35-48
    5. Siamac Fazli, Heung-Il Suk, Seong-Whan Lee, Klaus-Robert Müller
      Pages 49-60
  3. Cognitive- and Neural-Rehabilitation Engineering

    1. Front Matter
      Pages 61-61
    2. Hyun Jae Jang, Sahn Woo Park, Jeehyun Kwag
      Pages 63-72
    3. Robert Leeb, Ricardo Chavarriaga, Serafeim Perdikis, Iñaki Iturrate, José d. R. Millán
      Pages 73-94
  4. Big Data Neurocomputing

    1. Front Matter
      Pages 95-95
    2. Paolo Pretto, Joost Venrooij, Alessandro Nesti, Heinrich H. Bülthoff
      Pages 131-152
    3. Isabelle Bülthoff, Regine G. M. Armann, Ryo Kyung Lee, Heinrich H. Bülthoff
      Pages 153-165
  5. Early Diagnosis and Prediction of Neural Diseases

    1. Front Matter
      Pages 167-167
    2. Hakseung Kim, Young-Tak Kim, Dong-Joo Kim
      Pages 169-182
    3. Heung-Il Suk, Dinggang Shen, Alzheimer’s Disease Neuroimaging Initiative
      Pages 203-213

About this book

Introduction

Brain and Cognitive Engineering is a converging study field to derive a better understanding of cognitive information processing in the human brain, to develop “human-like” and neuromorphic artificial intelligent systems and to help predict and analyze brain-related diseases.

The key concept of Brain and Cognitive Engineering is to understand the Brain, to interface the Brain, and to engineer the Brain. It could help us to understand the structure and the key principles of high-order information processing on how the brain works, to develop interface technologies between a brain and external devices and to develop artificial systems that  can ultimately mimic human brain functions. The convergence of behavioral, neuroscience and engineering research could lead us to advance health informatics and personal learning, to enhance virtual reality and healthcare systems, and to “reverse engineer” some brain functions and build cognitive robots.

In this book, four different recent research directions are presented: Non-invasive Brain-Computer Interfaces, Cognitive- and Neural-rehabilitation Engineering, Big Data Neurocomputing, Early Diagnosis and Prediction of Neural Diseases. We cover numerous topics ranging from smart vehicles and online EEG analysis, neuroimaging for Brain-Computer Interfaces, memory implantation and rehabilitation, big data computing in cultural aspects and cybernetics to brain disorder detection. Hopefully this will provide a valuable reference for researchers in medicine, biomedical engineering, in industry and academia for their further investigations and be inspiring to those who seek the foundations to improve techniques and understanding of the Brain and Cognitive Engineering research field.

Keywords

brain brain computer interface brain disorders cognitive engineering neural disease neurocomputing

Editors and affiliations

  • Seong-Whan Lee
    • 1
  • Heinrich H. Bülthoff
    • 2
  • Klaus-Robert Müller
    • 3
  1. 1.Department of Brain and Cognitive EngineeringKorea UniversitySeoulKorea (Republic of)
  2. 2.Department Human Perception, Cognition and ActionMax Planck Institute for Biological CyberneticsTübingenGermany
  3. 3.Machine Learning GroupBerlin Institute of TechnologyBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-7239-6
  • Copyright Information Springer Science+Business Media Dordrecht 2015
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-94-017-7238-9
  • Online ISBN 978-94-017-7239-6
  • Series Print ISSN 2213-1310
  • Series Online ISSN 2213-1329
  • About this book