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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 conce...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lee, Seong-Whan (Editor ), Bülthoff, Heinrich H. (Editor ), Müller, Klaus-Robert (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Trends in Augmentation of Human Performance, 5
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.