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| Hauptseite > Publikationsdatenbank > Neuronal Network Meanfield Toolbox (NNMT) 1.0.0 > print |
| 001 | 906126 | ||
| 005 | 20240313094938.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.5779549 |2 doi |
| 037 | _ | _ | |a FZJ-2022-01242 |
| 100 | 1 | _ | |a Layer, Moritz |0 P:(DE-Juel1)174497 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Neuronal Network Meanfield Toolbox (NNMT) 1.0.0 |
| 250 | _ | _ | |a 1.0.0 |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1648103660_1005 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a The Neuronal Network Meanfield Toolbox NNMT is an open-source, community centered Python package for collecting reusable implementations of analytical methods for neuronal network model analysis based on mean-field theory. For full information visit the repository https://github.com/INM-6/nnmt or the official documentation https://nnmt.readthedocs.io/en/latest/ |
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| 536 | _ | _ | |a GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) |0 G:(GEPRIS)368482240 |c 368482240 |x 8 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Senk, Johanna |0 P:(DE-Juel1)162130 |b 1 |
| 700 | 1 | _ | |a Essink, Simon |0 P:(DE-Juel1)176777 |b 2 |
| 700 | 1 | _ | |a van Meegen, Alexander |0 P:(DE-Juel1)173607 |b 3 |
| 700 | 1 | _ | |a Bos, Hannah |0 P:(DE-Juel1)162131 |b 4 |
| 700 | 1 | _ | |a Helias, Moritz |0 P:(DE-Juel1)144806 |b 5 |
| 773 | _ | _ | |a 10.5281/ZENODO.5779549 |
| 856 | 4 | _ | |u https://zenodo.org/record/5779549 |
| 909 | C | O | |o oai:juser.fz-juelich.de:906126 |p openaire |p VDB |p ec_fundedresources |
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| 914 | 1 | _ | |y 2022 |
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