001 | 908305 | ||
005 | 20240313095011.0 | ||
037 | _ | _ | |a FZJ-2022-02525 |
100 | 1 | _ | |a Senk, Johanna |0 P:(DE-Juel1)162130 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a EBRAINS Workshop: Brain Activity across Scales and Species: Analysis of Experiments and Simulations |g BASSES |c Rome |d 2022-06-13 - 2022-06-15 |w Italy |
245 | _ | _ | |a Simulating spatially organized networks with NEST |
260 | _ | _ | |c 2022 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1661142827_7222 |2 PUB:(DE-HGF) |x Invited |
500 | _ | _ | |a Hands-on Session III |
520 | _ | _ | |a This live demo ramps up from basic concepts to recent research on spatially organized neuronal network models with the simulator NEST (https://ebrains.eu/service/nest-simulator). Starting with the graphical user interface NEST Desktop (https://ebrains.eu/service/nest-desktop), we interactively construct a network model and explore its dynamics in the web browser. Afterwards, we turn to scripted PyNEST code and investigate the relationship between distance-dependent connectivity and spatially and temporally resolved patterns in spiking activity using Jupyter Notebooks. All examples will be made available in the EBRAINS Collaboratory. |
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536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 3 |
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914 | 1 | _ | |y 2022 |
920 | _ | _ | |l no |
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 |
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