Neuromorphic Computing for Brain Computer Interfaces

Enhanced Synergies in Mind and Machine
Herausgeber: Kadry, Seifedine; Thiruthuvanathan, Michael Moses; Krishnasamy, Lalitha; Dhanaraj, Rajesh Kumar

• Broschiertes Buch

Produktbeschreibung

Neuromorphic Computing for Brain Computer Interfaces equips readers with knowledge and the application of Neuromorphic Computing. It 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. It encompasses novel concepts, cutting-edge research, frameworks, and tools that facilitate comprehension of neuromorphic computing models. This book attempts to be a comprehensive reference for professionals, researchers, and students to grasp the fundamental concepts and most recent developments in brain-computer interfaces (BCIs) and neuromorphic computing.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 250
• Erscheinungstermin: 1. Mai 2026
• Englisch
• Gewicht: 449g
• ISBN-13: 9780443415944
• ISBN-10: 0443415943
• Artikelnr.: 75536391

Inhaltsangabe

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