Work

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

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18009227

Authors: Martinez Garcia, Starlin Javier, Suriel Rosario, Fausto Antonio

Institutions: Sinclair Community College, Universidad Adventista Dominicana, Universidad Católica Santo Domingo

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7116702020

FWCI:

Cites:

Cited by:

Related to: