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| 001 | 874233 | ||
| 005 | 20240313094950.0 | ||
| 037 | _ | _ | |a FZJ-2020-01325 |
| 100 | 1 | _ | |a Layer, Moritz |0 P:(DE-Juel1)174497 |b 0 |u fzj |
| 245 | _ | _ | |a LIF Meanfield Tools |
| 250 | _ | _ | |a v0.2 |
| 260 | _ | _ | |c 2020 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1583409850_14363 |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 This is version v0.2 of the Python package LIF Meanfield Tools which provides useful tools for analyzing neuronal networks consisting of leaky integrate-and-fire (LIF) neurons. These tools are based on mean-field theory of neuronal networks. https://github.com/INM-6/lif_meanfield_tools/releases/tag/v0.2 |
| 536 | _ | _ | |a 574 - Theory, modelling and simulation (POF3-574) |0 G:(DE-HGF)POF3-574 |c POF3-574 |x 0 |f POF III |
| 536 | _ | _ | |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) |0 G:(DE-Juel1)PHD-NO-GRANT-20170405 |c PHD-NO-GRANT-20170405 |x 1 |
| 536 | _ | _ | |a SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) |0 G:(DE-Juel1)HGF-SMHB-2013-2017 |c HGF-SMHB-2013-2017 |x 2 |f SMHB |
| 536 | _ | _ | |a HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) |0 G:(EU-Grant)720270 |c 720270 |x 3 |f H2020-Adhoc-2014-20 |
| 536 | _ | _ | |a DFG project 233510988 - Mathematische Modellierung der Entstehung und Suppression pathologischer Aktivitätszustände in den Basalganglien-Kortex-Schleifen (233510988) |0 G:(GEPRIS)233510988 |c 233510988 |x 4 |
| 536 | _ | _ | |a ERS Seed Fund (ZUK2) - Exploratory Research Space: Seed Fund (2) als Anschubfinanzierung zur Erforschung neuer interdisziplinärer Ideen (ZUK2-SF) |x 5 |c ZUK2-SF |0 G:(DE-82)ZUK2-SF |
| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |x 6 |f H2020-SGA-FETFLAG-HBP-2017 |
| 536 | _ | _ | |a Helmholtz Young Investigators Group (HGF-YoungInvestigatorsGroup) |0 G:(DE-HGF)HGF-YoungInvestigatorsGroup |c HGF-YoungInvestigatorsGroup |x 7 |
| 536 | _ | _ | |a HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612) |0 G:(DE-Juel1)HDS-LEE-20190612 |c HDS-LEE-20190612 |x 8 |
| 536 | _ | _ | |a SPP 2041 347572269 - Integration von Multiskalen-Konnektivität und Gehirnarchitektur in einem supercomputergestützten Modell der menschlichen Großhirnrinde (347572269) |0 G:(GEPRIS)347572269 |c 347572269 |x 9 |
| 536 | _ | _ | |a GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) |0 G:(GEPRIS)368482240 |c 368482240 |x 10 |
| 536 | _ | _ | |a HAF - Helmholtz Analytics Framework (ZT-I-0003) |0 G:(DE-HGF)ZT-I-0003 |c ZT-I-0003 |x 11 |
| 536 | _ | _ | |a DFG project 237833830 - Optogenetische Analyse der für kognitive Fähigkeiten zuständigen präfrontal-hippokampalen Netzwerke in der Entwicklung (237833830) |0 G:(GEPRIS)237833830 |c 237833830 |x 12 |
| 536 | _ | _ | |a DFG project 238707842 - Kausative Mechanismen mesoskopischer Aktivitätsmuster in der auditorischen Kategorien-Diskrimination (238707842) |0 G:(GEPRIS)238707842 |c 238707842 |x 13 |
| 700 | 1 | _ | |a Senk, Johanna |0 P:(DE-Juel1)162130 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Essink, Simon |0 P:(DE-Juel1)176777 |b 2 |u fzj |
| 700 | 1 | _ | |a Korvasová, Karolína |0 P:(DE-Juel1)162473 |b 3 |
| 700 | 1 | _ | |a van Meegen, Alexander |0 P:(DE-Juel1)173607 |b 4 |u fzj |
| 700 | 1 | _ | |a Bos, Hannah |0 P:(DE-Juel1)162131 |b 5 |
| 700 | 1 | _ | |a Schücker, Jannis |0 P:(DE-Juel1)156503 |b 6 |
| 700 | 1 | _ | |a Helias, Moritz |0 P:(DE-Juel1)144806 |b 7 |
| 856 | 4 | _ | |u http://doi.org/10.5281/zenodo.3661413 |
| 909 | C | O | |o oai:juser.fz-juelich.de:874233 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)174497 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)162130 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)176777 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)162473 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)173607 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)144806 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-6-20090406 |k INM-6 |l Computational and Systems Neuroscience |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-6-20130828 |k IAS-6 |l Theoretical Neuroscience |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-10-20170113 |k INM-10 |l Jara-Institut Brain structure-function relationships |x 2 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
| 980 | _ | _ | |a I:(DE-Juel1)INM-10-20170113 |
| 980 | _ | _ | |a UNRESTRICTED |
| 981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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