- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Neuromorphic Computing for Brain Computer Interfaces: Enhanced Synergies in Mind and Machine examines practical situations where interpretability is crucial, going beyond theoretical considerations and providing case studies and examples to illustrate how Brain Computer Interfaces could be implemented in the real world. The book encompasses novel concepts, cutting-edge research, frameworks, and tools that facilitate comprehension of neuromorphic computing models. It is an ideal, comprehensive reference for professionals, researchers, and students who want to grasp the fundamental concepts and most recent developments in brain-computer interfaces (BCIs) and neuromorphic computing.
Contents
1. Physiological Brain Signals
2. Signal Acquisition Sensors
3. Neuromorphic Algorithms
4. Adaptive Learning Architectures
5. Cognitive Fusion
6. BCI Intelligence
7. Deep Neural Network Models
8. Enhanced Decision-Making
9. Neuromorphic Edge Computing
10. Case Study on Mindful Healthcare
11. Case Study on Neuromorphic Vision Systems: BCI-Infused Technologies for Advanced Image Processing
12. Case Study on Neuromorphic Audio Processing: BCI-Driven Innovations in Sound Recognition and Synthesis
13. Case Study on Education Revolution: Neuromorphic and BCI Technologies Shaping Personalized Learning Environments
14. Future of BCIs: Problems and Prospects. Research and Development
