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.
1. Introduction - p. xxv 2. Chapter 1. Introduction to brain-computer interfaces and neuromorphic computing: Foundations and relevance to neurodegenerative disease diagnosis - p. 1 3. Chapter 2. BCI intelligence: Neuromorphic computing and brain-computer interfaces characteristics and challenges - p. 31 4. Chapter 3. Neuromorphic algorithms - p. 55 5. Chapter 4. EEG-based imagined speech classification—A systematic review by exploring the effective hierarchical deep learning approaches - p. 81 6. Chapter 5. EEG-based biomarkers for early detection and monitoring of Alzheimer's disease - p. 109 7. Chapter 6. Enhanced decision-making through Neuromorphic Computing and BCI - p. 141 8. Chapter 7. AI-augmented chest radiography pneumonia detection: Balancing sensitivity and clinical monitoring - p. 157 9. Chapter 8. Revolutionizing human–device interaction: Advancements and applications in brain–computer interfaces - p. 181 10. Chapter 9. Optimizing logistics for smart cities: Intelligent fleet and delivery management - p. 213 11. Chapter 10. A biomimetic neuromorphic processor for enhanced brain–computer interface applications in neural rehabilitation - p. 233 12. Chapter 11. Neuromorphic solutions for sustainable smart cities: A brain computer interface perspective - p. 257 13. Chapter 12. An artificial intelligence-based real-time monitoring system to study the effect of electrical signal between Ocimum teniflorum and Coleus amboinicus - p. 285 14. Chapter 13. Case study on neuromorphic vision system: BCI-infused technologies for advanced image processing - p. 307 15. Chapter 14. Cross generational data analysis on mental health effect of social media - p. 329 16. Chapter 15. Mapping the research landscape of neuromorphic computing: A bibliometric analysis of trends, collaboration, and research hotspots - p. 345 17. Chapter 16. Neuro-driven smart homes: The future of adaptive and sustainable living - p. 365 18. Index - p. 391
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.
1. Introduction - p. xxv 2. Chapter 1. Introduction to brain-computer interfaces and neuromorphic computing: Foundations and relevance to neurodegenerative disease diagnosis - p. 1 3. Chapter 2. BCI intelligence: Neuromorphic computing and brain-computer interfaces characteristics and challenges - p. 31 4. Chapter 3. Neuromorphic algorithms - p. 55 5. Chapter 4. EEG-based imagined speech classification—A systematic review by exploring the effective hierarchical deep learning approaches - p. 81 6. Chapter 5. EEG-based biomarkers for early detection and monitoring of Alzheimer's disease - p. 109 7. Chapter 6. Enhanced decision-making through Neuromorphic Computing and BCI - p. 141 8. Chapter 7. AI-augmented chest radiography pneumonia detection: Balancing sensitivity and clinical monitoring - p. 157 9. Chapter 8. Revolutionizing human–device interaction: Advancements and applications in brain–computer interfaces - p. 181 10. Chapter 9. Optimizing logistics for smart cities: Intelligent fleet and delivery management - p. 213 11. Chapter 10. A biomimetic neuromorphic processor for enhanced brain–computer interface applications in neural rehabilitation - p. 233 12. Chapter 11. Neuromorphic solutions for sustainable smart cities: A brain computer interface perspective - p. 257 13. Chapter 12. An artificial intelligence-based real-time monitoring system to study the effect of electrical signal between Ocimum teniflorum and Coleus amboinicus - p. 285 14. Chapter 13. Case study on neuromorphic vision system: BCI-infused technologies for advanced image processing - p. 307 15. Chapter 14. Cross generational data analysis on mental health effect of social media - p. 329 16. Chapter 15. Mapping the research landscape of neuromorphic computing: A bibliometric analysis of trends, collaboration, and research hotspots - p. 345 17. Chapter 16. Neuro-driven smart homes: The future of adaptive and sustainable living - p. 365 18. Index - p. 391
