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| 001 | 1017442 | ||
| 005 | 20231026202917.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2023-04138 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2023-04138 |
| 100 | 1 | _ | |a Gell, Martin |0 P:(DE-Juel1)185960 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a INM Retreat |c Jülich |d 2023-10-17 - 2023-10-18 |w Germany |
| 245 | _ | _ | |a The Burden of Reliability: How Measurement Noise Limits Brain-Behaviour Predictions |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 500 | _ | _ | |a Acknowledgments: This study was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 269953372/GRK2150”, Deutsche Forschungsgemeinschaft (69953372/GRK2150, EI816/11-1), Jülich-Aachen Research Alliance (JARA), the National Institute of Mental Health (R01-MH074457), the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain“, and the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 945539 (HBP SGA3). |
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| 700 | 1 | _ | |a Langner, Robert |0 P:(DE-Juel1)131693 |b 7 |u fzj |
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