Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway - Forschungsportal der Justus-Liebig-Universität Gießen:

Journalartikel

Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway

Autorenliste: van Dyck, Leonard E; Bremmer, Frank; Dobs, Katharina

Jahr der Veröffentlichung: 2024

Zeitschrift: Signal Transduction and Targeted Therapy

Bandnummer: 9

Heftnummer: 1

ISSN: 2095-9907

eISSN: 2059-3635

Open Access Status: Gold

DOI Link: https://doi.org/10.1038/s41392-024-01870-9

Verlag: Springer Nature [academic journals on nature.com]

Autoren/Herausgeber

- Dr. Katharina Barbara Dobs

Zitierstile

Harvard-Zitierstil: van Dyck, L., Bremmer, F. and Dobs, K. (2024) Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway, Signal Transduction and Targeted Therapy, 9(1), Article 171. https://doi.org/10.1038/s41392-024-01870-9

APA-Zitierstil: van Dyck, L., Bremmer, F., & Dobs, K. (2024). Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway. Signal Transduction and Targeted Therapy. 9(1), Article 171. https://doi.org/10.1038/s41392-024-01870-9