Recent Progress in Brain and Cognitive Engineering

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lee, Seong-Whan (Επιμελητής έκδοσης), Bülthoff, Heinrich H. (Επιμελητής έκδοσης), Müller, Klaus-Robert (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Trends in Augmentation of Human Performance, 5
• Θέματα: Medicine.; Neurosciences.; Bioinformatics.; Neurobiology.; Biomedicine.; Computational Biology/Bioinformatics.

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 Brai...

Πίνακας περιεχομένων:

• Part I. Non-invasive Brain-Computer Interface
• Chapter 1. Future directions for brain-machine interfacing technology
• Chapter 2. Brain-Computer Interface for Smart Vehicle: Detection of Braking Intention during Simulated Driving
• Chapter 3. Benefits and limits of multimodal neuroimaging for Brain Computer Interfaces
• Chapter 4. Multifrequency Analysis of Brain-Computer Interfaces
• Part II. Cognitive- and Neural-rehabilitation Engineering
• Chapter 5. Current Trends in Memory Implantation and Rehabilitation
• Chapter 6. Moving Brain Controlled Devices Outside the Lab: Principles and Applications
• Part III. Big Data Neurocomputing
• Chapter 7. Across cultures: a Cognitive and Computational Analysis of Emotional and Conversational Facial Expressions in Germany and Korea
• Chapter 8. Bottom-Up Processing in Complex Scenes: a unifying perspective on segmentation, fixation saliency, candidate regions, base-detail decomposition, and image enhancement
• Chapter 9. Perception-based motion cueing: a Cybernetics approach to motion simulation
• Chapter 10. The other-race effect revisited: no effect for faces varying in race only
• Part IV. Early Diagnosis and Prediction of Neural Diseases
• Chapter 11. Functional neuromonitoring in acquired head injury
• Chapter 12. Diagnostic Optical Imaging Technology and its Principles
• Chapter 13. Detection of Brain Metastases using Magnetic Resonance Imaging
• Chapter 14. Deep Learning in Diagnosis of Brain Disorders.