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NEST Simulator Examples

Last modified by spreizer on 2025/07/30 12:14

Examples for NEST Simulator

Run NEST Simulator examples on EBRAINS lab

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NEST is used in computational neuroscience to model and study behavior of large networks of neurons.

The models describe single neuron and synapse behavior and their connections. Different mechanisms of plasticity can be used to investigate learning and help to shed light on the fundamental principles of how the brain works.

NEST offers convenient and efficient commands to define and connect large networks, ranging from algorithmically determined connections to data-driven connectivity. Create connections between neurons using numerous synapse models from STDP to gap junctions.

How to run NEST Simulator examples on EBRAINS lab?

  1. Go to https://lab.ebrains.eu

     

  2. Next, clone a repo from the remote Git repository "https://github.com/nest/nest-simulator-examples" (See red arrow).

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    If you want to have it persistently, cloned it into your drive folder "/drive/My Libraries/".

     

  3. After cloning, you can find exmples in the folder: "nest-simulator-examples/notebooks".

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  4. When you start a notebook, select kernel: "EBRAINS-25.02" (or later).

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  5. Have fun with it!

Suggested examples to begin


References

Acknowledgments

NEST development has been supported by many organisations, programs, and individuals since 1993. The following list of support received is therefore necessarily incomplete.

This project has received funding from the European Union's Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement:

  • No. 945539 (Human Brain Project SGA3),
  • No. 785907 (Human Brain Project SGA2),
  • No. 720270 (Human Brain Project SGA1),
  • No. 754304 (DEEP-EST), and
  • No. 800858 (ICEI).

The NEST developers gratefully acknowledge the support and funding received from:

  • Jülich Aachen Research Alliance (JARA),
  • computing time granted by the JARA-HPC Vergabegremium and provided on the JARA-HPC Partition part of the supercomputers JUQUEEN and JURECA at Forschungszentrum Jülich (VSR computation time grant JINB33),
  • Priority Program (SPP 2041 "Computational Connectomics") of the Deutsche Forschungsgemeinschaft [S.J. van Albada: AL 2041/1-1],
  • Next-Generation Supercomputer Project of MEXT, Japan,
  • Helmholtz Association through the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain",
  • European Union 7th Framework Program under grant agreement no. 269921 (BrainScaleS),
  • European Union 7th Framework Programme ([FP7/2007-2013]) under grant agreement no. 604102 (Human Brain Project, HBP),
  • European Union 6th and 7th Framework Program under grant agreement no. 15879 (FACETS),
  • Excellence Initiative of the German federal and state governments,
  • Helmholtz young investigator's group VH-NG-1028 "Theory of multi-scale neuronal networks",
  • compute time provided by UNINETT Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway and its predecessors,
  • eScience program of the Research Council of Norway under grant 178892/V30 (eNeuro).

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