This paper is in the following e-collection/theme issue:

Theme Issue 2024: Brain-Computer Interfaces (BCIs) (1) Viewpoints in Neurotechnology (5) Brain-Machine Interfaces (14)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60151, first published .
Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects

Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects

Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects

Authors of this article:

Pieter Kubben1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Song Y, Han L, Zhang T, Xu B. Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding. Frontiers in Neuroscience 2025;19 View
  2. Henderson F, Tuchman K. Angiogenic Cell Precursors and Neural Cell Precursors in Service to the Brain–Computer Interface. Cells 2025;14(15):1163 View
  3. Williams C, Anik F, Hasan M, Rodriguez-Cardenas J, Chowdhury A, Tian S, He S, Sakib N. Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: A Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering (Preprint). JMIR Biomedical Engineering 2025 View