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| 001 | 1017555 | ||
| 005 | 20240313094859.0 | ||
| 037 | _ | _ | |a FZJ-2023-04195 |
| 100 | 1 | _ | |a Senk, Johanna |0 P:(DE-Juel1)162130 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a International conference on neuromorphic, natural and physical computing |g NNPC |c Hannover |d 2023-10-25 - 2023-10-27 |w Germany |
| 245 | _ | _ | |a Performance Benchmarks for Neuromorphic Systems at Scale |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 520 | _ | _ | |a A neuroscientifically relevant model of a local cortical circuit has become a benchmarkchallenging different conventional and neuromorphic simulation approaches in terms of accuracy andefficiency. The cross-disciplinary performance comparison calls for discussions on 1) future benchmarkmodels representing the multi-level organization of the brain at scale, and 2) demands on the designof neuromorphic hardware to enable corresponding network simulations. |
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| 700 | 1 | _ | |a van Albada, Sacha |0 P:(DE-Juel1)138512 |b 1 |u fzj |
| 700 | 1 | _ | |a Diesmann, Markus |0 P:(DE-Juel1)144174 |b 2 |u fzj |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5234 |x 0 |
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| 914 | 1 | _ | |y 2023 |
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