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  • Book
  • © 2015

Recent Progress in Brain and Cognitive Engineering

  • Describes up-to-date discussions in Brain and Cognitive Engineering
  • Considers aspects on how the brain may implement in artificial systems that can interact intelligently with the real world
  • Provides valuable resources and introductory materials to researchers and students in this field

Part of the book series: Trends in Augmentation of Human Performance (TAHP, volume 5)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xi
  2. Non-invasive Brain-Computer Interface

    1. Front Matter

      Pages 1-1
    2. Future Directions for Brain-Machine Interfacing Technology

      • Kyuwan Choi, Byoung-Kyong Min
      Pages 3-18
    3. Brain-Computer Interface for Smart Vehicle: Detection of Braking Intention During Simulated Driving

      • Jeong-Woo Kim, Il-Hwa Kim, Stefan Haufe, Seong-Whan Lee
      Pages 19-33
    4. Benefits and Limits of Multimodal Neuroimaging for Brain Computer Interfaces

      • Siamac Fazli, Min-Ho Lee, Seul-Ki Yeom, John Williamson, Isabella Schlattner, Yiyu Chen et al.
      Pages 35-48
    5. Multifrequency Analysis of Brain-Computer Interfaces

      • 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. Current Trends in Memory Implantation and Rehabilitation

      • Hyun Jae Jang, Sahn Woo Park, Jeehyun Kwag
      Pages 63-72
    3. Moving Brain-Controlled Devices Outside the Lab: Principles and Applications

      • 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. Perception-Based Motion Cueing: A Cybernetics Approach to Motion Simulation

      • Paolo Pretto, Joost Venrooij, Alessandro Nesti, Heinrich H. Bülthoff
      Pages 131-152
    3. The Other-Race Effect Revisited: No Effect for Faces Varying in Race Only

      • 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. Functional Neuromonitoring in Acquired Head Injury

      • Hakseung Kim, Young-Tak Kim, Dong-Joo Kim
      Pages 169-182
    3. Deep Learning in Diagnosis of Brain Disorders

      • Heung-Il Suk, Dinggang Shen, Alzheimer’s Disease Neuroimaging Initiative
      Pages 203-213

About this book

For ‘Recent Progress in Brain and Cognitive Engineering’

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.

Reviews

“Fourteen chapters provide examples of cutting-edge research in understanding high-order information processing by the brain and how the brain may create artificial systems that interact with the real world. Advanced researchers will find helpful directions in these studies. … Each standalone chapter has an abstract at the beginning and list of references at the end.” (Brad Reid, Computing Reviews, March, 2016)

Editors and Affiliations

  • Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea (Republic of)

    Seong-Whan Lee

  • Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

    Heinrich H. Bülthoff

  • Machine Learning Group, Berlin Institute of Technology, Berlin, Germany

    Klaus-Robert Müller

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access