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| Hauptseite > Publikationsdatenbank > The Balanced State in Random Networks > print |
| 001 | 901853 | ||
| 005 | 20240313103119.0 | ||
| 024 | 7 | _ | |a 2128/28914 |2 Handle |
| 037 | _ | _ | |a FZJ-2021-03868 |
| 100 | 1 | _ | |a Keup, Christian |0 P:(DE-Juel1)171384 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a EITN Fall School 2021 |c Paris |w France |
| 245 | _ | _ | |a The Balanced State in Random Networks |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a lecture |2 DRIVER |
| 336 | 7 | _ | |a Generic |0 31 |2 EndNote |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Lecture |b lecture |m lecture |0 PUB:(DE-HGF)17 |s 1636125666_4632 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Text |2 DataCite |
| 500 | _ | _ | |a A 1 hour lecture about the balanced state in inhibiton dominated spiking networks. |
| 536 | _ | _ | |a 5231 - Neuroscientific Foundations (POF4-523) |0 G:(DE-HGF)POF4-5231 |c POF4-523 |f POF IV |x 0 |
| 536 | _ | _ | |a MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) |0 G:(DE-Juel1)HGF-SMHB-2014-2018 |c HGF-SMHB-2014-2018 |f MSNN |x 1 |
| 536 | _ | _ | |a RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) |0 G:(DE-Juel-1)BMBF-01IS19077A |c BMBF-01IS19077A |x 2 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/901853/files/Handout_slides_with_notes-1.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:901853 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)171384 |
| 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)POF4-5231 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 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)INM-10-20170113 |k INM-10 |l Jara-Institut Brain structure-function relationships |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-6-20130828 |k IAS-6 |l Theoretical Neuroscience |x 2 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a lecture |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)INM-10-20170113 |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
| 981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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