Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science
- DOI
- 10.3389/fpsyg.2026.1849742
- Published
- 2026-06-02
- Container
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyg.2026.1849742,
title = {Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science},
author = {Mathew Abrams and Damian Okaibedi Eke and Johannes Passecker and JB Poline and John Van Horn and Milagros Marín},
year = {2026},
journal = {Frontiers in Psychology},
doi = {10.3389/fpsyg.2026.1849742},
url = {https://doi.org/10.3389/fpsyg.2026.1849742}
}RIS
TY - JOUR TI - Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science AU - Mathew Abrams AU - Damian Okaibedi Eke AU - Johannes Passecker AU - JB Poline AU - John Van Horn AU - Milagros Marín PY - 2026 JO - Frontiers in Psychology DO - 10.3389/fpsyg.2026.1849742 UR - https://doi.org/10.3389/fpsyg.2026.1849742 ER -
APA
Abrams, M., Eke, D. O., Passecker, J., Poline, J., Horn, J. V., & Marín, M. (2026). Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1849742
Source records
- crossref · retrieved 2026-09-25T15:12:09.471Z