Neuromorphic Computing for Brain Computer Interfaces

Enhanced Synergies in Mind and Machine
Erscheinungsjahr 2026
ISBN: 978-0-443-41594-4
Verlag: Elsevier Science

Buch, Englisch, 250 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

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.

Autoren/Hrsg.

Kadry, Seifedine

Dhanaraj, Rajesh Kumar

Krishnasamy, Lalitha

Thiruthuvanathan, Michael Moses

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie

Inhaltsverzeichnis

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

Über Autor(innen)

Kadry, Seifedine
Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor's degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.

Krishnasamy, Lalitha
Dr. Lalitha Krishnasamy is currently working as a Professor in the Department of Artificial Intelligence and Data Science, Nandha Engineering College, Erode, Tamil Nadu, India. She completed her Ph.D., from Anna University, Chennai, India in 2019 and M.Tech from Anna University, Coimbatore, India in 2009. She pursued her research in the field of Wireless Sensor Networks. She possesses seventeen+ years of teaching expertise. Her thrust areas of research include Internet of Things, Machine Learning, Deep Learning and Artificial Intelligence. She has published 45+ papers in various International Journals and International Conferences. She has contributed multiple book chapters in reputed publications. She has acted as a session chair and reviewer in numerous international conferences. She obtained 5 patents. Her professional membership includes IEEE, CSI and IAENG.

Dhanaraj, Rajesh Kumar
Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).

Thiruthuvanathan, Michael Moses
Dr. Michael Moses Thiruthuvanathan is an Assistant Professor of Computer Science and Engineering at Christ University in Bangalore, India. He holds a Ph.D. in Computer Science and Engineering and also leads the NCC cadets of Airwing of the university. He holds the Rank of Flying officer conferred to him from the Indian Air Force. He is a highly respected academic who has contributed significantly to computer science and engineering. He has authored several research papers in top-tier journals and has presented his work at various national and international conferences. His research interests include Computer Vision, Deep learning, Artificial intelligence, Health Informatics and machine learning. He is known for his innovative research methods and ability to bridge the gap between theory and practice. Apart from his research, Dr. Michael is a dedicated teacher whom his students highly regard. He is known for his ability to explain complex concepts in a simple and easy-to-understand manner, and for his commitment to helping students achieve their academic and professional goals.