Recent Progress in Brain and Cognitive Engineering

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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.

Author(s): Seong-Whan Lee, Heinrich H. Bülthoff, Klaus-Robert Müller (eds.)
Series: Trends in Augmentation of Human Performance 5
Edition: 1
Publisher: Springer Netherlands
Year: 2015

Language: English
Pages: XI, 213
Tags: Neurosciences; Computational Biology/Bioinformatics; Neurobiology

Front Matter....Pages i-xi
Front Matter....Pages 1-1
Future Directions for Brain-Machine Interfacing Technology....Pages 3-18
Brain-Computer Interface for Smart Vehicle: Detection of Braking Intention During Simulated Driving....Pages 19-33
Benefits and Limits of Multimodal Neuroimaging for Brain Computer Interfaces....Pages 35-48
Multifrequency Analysis of Brain-Computer Interfaces....Pages 49-60
Front Matter....Pages 61-61
Current Trends in Memory Implantation and Rehabilitation....Pages 63-72
Moving Brain-Controlled Devices Outside the Lab: Principles and Applications....Pages 73-94
Front Matter....Pages 95-95
Across Cultures: A Cognitive and Computational Analysis of Emotional and Conversational Facial Expressions in Germany and Korea....Pages 97-108
Bottom-Up Processing in Complex Scenes: A Unifying Perspective on Segmentation, Fixation Saliency, Candidate Regions, Base-Detail Decomposition, and Image Enhancement....Pages 109-130
Perception-Based Motion Cueing: A Cybernetics Approach to Motion Simulation....Pages 131-152
The Other-Race Effect Revisited: No Effect for Faces Varying in Race Only....Pages 153-165
Front Matter....Pages 167-167
Functional Neuromonitoring in Acquired Head Injury....Pages 169-182
Diagnostic Optical Imaging Technology and Its Principles....Pages 183-193
Detection of Brain Metastases Using Magnetic Resonance Imaging....Pages 195-202
Deep Learning in Diagnosis of Brain Disorders....Pages 203-213