Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway
| dc.contributor.author | van Dyck, Leonard E. | |
| dc.contributor.author | Bremmer, Frank | |
| dc.contributor.author | Dobs, Katharina | |
| dc.date.accessioned | 2024-12-12T10:42:42Z | |
| dc.date.available | 2024-12-12T10:42:42Z | |
| dc.date.issued | 2024 | |
| dc.description.sponsorship | Deutsche Forschungsgemeinschaft (DFG); ROR-ID:018mejw64 | |
| dc.identifier.uri | https://jlupub.ub.uni-giessen.de/handle/jlupub/20055 | |
| dc.identifier.uri | https://doi.org/10.22029/jlupub-19410 | |
| dc.language.iso | en | |
| dc.rights | Namensnennung 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | ddc:150 | |
| dc.title | Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway | |
| dc.type | article | |
| local.affiliation | FB 06 - Psychologie und Sportwissenschaft | |
| local.project | Project number 222641018–SFB/TRR 135 | |
| local.source.articlenumber | 171 | |
| local.source.epage | 3 | |
| local.source.journaltitle | Signal transduction and targeted therapy | |
| local.source.spage | 1 | |
| local.source.uri | https://doi.org/10.1038/s41392-024-01870-9 | |
| local.source.volume | 9 |
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