Brain-Computer Interface

Resumen de los autores

Addressing the complexity of systems that cut across neural technologies, health sciences, artificial intelligence, education, mobility, and other domains requires multidisciplinary convergence. It is crucial to understand how these different elements interact, particularly when human behavior is involved. Recent technological advances in materials and sensors have made it relatively straightforward to access tools and devices that capture and measure brain activity in real time via neural signals. When these signals are properly processed, they can yield highly valuable information for a wide range of applications. The central purpose of the book Brain-Computer Interface – Bridging Technology, Education, and Ethics is to serve as a reference work that combines rigorous, formal theoretical foundations with a practical, application-oriented perspective. It features case studies, demonstrators, simulators, datasets, and experiments that illustrate the vast potential of BCI technologies and other techniques grounded in cognitive science and neuroscience. With this aim, we convened leading experts from around the world to contribute their diverse perspectives on the complex ethical and responsibility-related issues that emerge when these technologies are deployed in various fields. The central aim of this book is to illuminate the methods used to examine and characterize human behavior and its interaction with digital technologies. The viewpoints collected here encompass health, rehabilitation, and education, particularly STEM education, as well as disruptive and understudied topics in the BCI literature, such as democratic governance, neuro-rights, and cognitive dignity. Collectively, these chapters constitute an essential resource for researchers, educators, students, and policymakers who want to understand the extraordinary potential of BCIs to save lives, protect individual autonomy, and improve the human condition.

Áreas y palabras clave

Cómo citar (APA 7)

A. Ramirez-Mendoza, R., Alejandro Aybar M., J., & Morales-Menendez, R. (2026). Brain-Computer Interface. IntechOpen. https://doi.org/10.5772/intechopen.1009056