Hybrid neurocomputing: the integration between the human brain and artificial intelligence for the next generation of neurotechnological interfaces
This article explores the concept of hybrid neurocomputing, focusing on the integration of the human brain with artificial intelligence systems for the development of next-generation neurotechnological interfaces. The study analyzes current advances in neurotechnology, artificial intelligence, and brain–computer interaction, highlighting their potential applications in healthcare, rehabilitation, and human–machine collaboration. The work emphasizes the relevance of hybrid neurocomputing for improving clinical outcomes, enhancing assistive technologies, and supporting innovation within the healthcare and biomedical engineering sectors. By addressing the convergence of neuroscience and artificial intelligence, this publication contributes to ongoing discussions on the future of neurotechnology and its implications for public health and technological advancement.
Authors
- Fausto Antonio Suriel Rosario
- Starlin Javier Martinez Garcia
Institutions
- National Defense University (US)
- Sinclair Community College (US)
- Escuela Nacional de Sanidad (ES)
- Universidad Adventista Dominicana (DO)
- Universidad Católica Santo Domingo (DO)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-21
- DOI
- https://doi.org/10.5281/zenodo.18009228
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00