This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.5281/ZENODO.5886894 in citations.
NEST 3.2
NEST 3.2
NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit https://www.nest-simulator.org. The release notes for this release are available at https...
Saved in:
Personal Name(s): | de Schepper, Robin |
---|---|
Eppler, Jochen Martin / Kurth, Anno / Nagendra Babu, Pooja / Deepu, Rajalekshmi / Spreizer, Sebastian / Trensch, Guido / Pronold, Jari / Vennemo, Stine Brekke / Graber, Steffen / Morales-Gregorio, Aitor / Linssen, Charl / Benelhedi, Mohamed Ayssar / Mørk, Håkon / Morrison, Abigail / Terhorst, Dennis (Corresponding author) / Mitchell, Jessica / Diaz, Sandra / Kitayama, Itaru / Enan, Mahdi / Kamiji, Nilton Liuji / Plesser, Hans Ekkehard | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Imprint: |
2022
|
DOI: |
10.5281/ZENODO.5886894 |
Document Type: |
Software |
Research Program: |
Human Brain Project Specific Grant Agreement 3 Digitization of Neuroscience and User-Community Building Computational Principles Neuroscientific Foundations Emerging NC Architectures |
Edition: | 3.2 |
Publikationsportal JuSER |
NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit https://www.nest-simulator.org. The release notes for this release are available at https://github.com/nest/nest-simulator/releases/tag/v3.2. Zenodo record: 10.5281/zenodo.5886894. |