This book is an in-depth exploration of brain networks, providing a comprehensive understanding of their structures, functions, and implications for personalization through artificial intelligence. Readers will gain insights into the intricate workings of the brain, making this book an indispensable resource for those seeking a thorough grasp of neuroscience concepts. It offers the seamless integration of neuroscience principles with artificial intelligence applications. The book bridges these two domains, elucidating how advancements in AI draw inspiration from the complexities of the human brain. This interdisciplinary approach sets the book apart, offering readers a holistic view of cutting-edge technologies. Readers can expect practical applications and real-world case studies that illustrate the tangible benefits of the concepts discussed. From personalized healthcare solutions to adaptive learning systems, the book goes beyond theory, empowering readers to apply knowledge in diverse domains. This pract
This book doesn’t just dwell on current technologies; it takes readers into the future by exploring emerging trends at the intersection of neuroscience and artificial intelligence. By delving into potential breakthroughs and innovations, the book equips readers with insights that are forward-thinking and relevant in an ever-evolving technological landscape.
Table of Contents
1. Exploring Brain Connectivity: Structural, Functional, and Effective Networks in Neuroscience
Rezuana Haque, Md. Niamat Munsi, and Chander Prabha
2. Advances in Brain Imaging Technologies: A Comprehensive Overview
Mahade Hasan, Farhana Yasmin, Xue Yu, and Asif Karim
3. Understanding Brain Connectivity: From Synapses to Networks
Sayeda Mayesha Yousuf and Amrina Rahman
4. Artificial Intelligence in Neuroscience
Mahade Hasan, Farhana Yasmin, Xue Yu, and Md. Mehedi Hassan
5. Brain Networks in Neuroscience: Tailoring Treatments with AI Insights
Chander Prabha
6. Brain Network Dynamics: Implications for Health and Disease
Tamanna Haque Ritu, Hirak Mondal, Anindya Nag, and Riya Sil
7. Neural Dynamics: Unraveling the Complexity of Brain Activity
Rezuana Haque and Md Tanvir Islam
8. Decoding Brain Signals: Perspectives from AI-powered Examination
Avula Mahathi, Kishor Kumar Reddy C., Nastassia Thandiwe Sithole, and Kari Lippert
9. Neuroimaging Techniques: Innovations and Applications
Md. Mahadi Hassan, Farhana Yasmin, Mahade Hasan, and Chetna Sharma
10. Intelligent Movement-Controlled Brain–Computer Interface System Based on EEG Signal
Khin Eaindray Htun, May Thu Kyaw, Htun Htun, Kyaw Kyaw Oo, Si Thu Aung, and Md. Mehedi Hassan
11. Decoding Brain Signals for Connectivity Analysis with Machine Learning: Innovations and Applications in Neuroscience
Thota Akshitha, Kishor Kumar Reddy C., Manoj Kumar Reddy D., and Srinath Doss
12. Interpreting Electroencephalogram Brain Signals: Insights from AI-driven Analysis
Hirak Mondal, Anindya Nag, Md. Mushfiqur Rahman, and Anupam Kumar Bairagi
13. Neuroinformatics in the Era of Personalized Neuroscience
Farhana Yasmin, Mahade Hasan, Md. Mehedi Hassan, and Xue Yu
14. Deciphering Minds and Motion: A Unified Exploration of Brain Signal Decoding and Activity Recognition through AI-driven Analysis
Arafat Rahman, Ayontika Das, Anindya Nag, and Tamanna Zubairi Sana
