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.

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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
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article

Hybrid neurocomputing: the integration between the human brain and artificial intelligence for the next generation of neurotechnological interfaces

Fausto Antonio Suriel Rosario, Starlin Javier Martinez Garcia
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

Hybrid neurocomputing: the integration between the human brain and artificial intelligence for the next generation of neurotechnological interfaces

Fausto Antonio Suriel Rosario, Starlin Javier Martinez Garcia
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
National Defense University (US), Sinclair Community College (US), Escuela Nacional de Sanidad (ES), Universidad Adventista Dominicana (DO), Universidad Católica Santo Domingo (DO)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
EEG and Brain-Computer Interfaces
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Hybrid neurocomputing: the integration between the human brain and artificial intelligence for the next generation of neurotechnological interfaces — Fausto Antonio Suriel Rosario, Starlin Javier Martinez Garcia · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS