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| Hauptseite > Publikationsdatenbank > Rapid prototyping in spiking neural network modeling with NESTML and NEST Desktop > print |
| Hauptseite > Publikationsdatenbank > Rapid prototyping in spiking neural network modeling with NESTML and NEST Desktop > print |
| 001 | 1032427 | ||
| 005 | 20250203103112.0 | ||
| 037 | _ | _ | |a FZJ-2024-06235 |
| 100 | 1 | _ | |a Spreizer, Sebastian |0 P:(DE-Juel1)188319 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Bernstein Conference 2024 |c Frankfurt |d 2024-09-29 - 2024-10-02 |w Germany |
| 245 | _ | _ | |a Rapid prototyping in spiking neural network modeling with NESTML and NEST Desktop |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
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| 520 | _ | _ | |a NEST [1] is a well-established open source simulator providing researchers in computational neuroscience with the ability to perform high-performance simulations of spiking neuronal networks. However, as the simulation kernel is written in C++ for performance reasons, this makes it challenging for researchers without a programming background to customize and extend the built-in neuron and synapse models.In order to satisfy both the need for high-performance simulation codes and a good user experience in terms of easy-to-use modeling of neurons and synapses, NESTML [2] was created as a domain-specific language with an unambiguous syntax. Alongside the language itself, a toolchain was developed that parses the model, analyzes the underlying equations, and performs code generation. The code generated by NESTML can be used in simulations of brain activity on several platforms, in particular the NEST Simulator. However, specification of the network architecture requires using the NEST Python API, which still requires users to be skilled at programming. This poses a problem for beginners, as experience shows that they usually have little to no coding experience.This issue was addressed by the development of NEST Desktop [3], a graphical user interface that serves as an intuitive, programming-free interface to NEST. The interface is easily installed and accessed via an internet browser on the computers of individual users, or in cloud-based deployments, which have already been proven in the field in student courses at universities across Europe.Here, we demonstrate for the first time the integration of all three components: NEST Desktop, NESTML and NEST. As a result, researchers and students can customize existing models or develop new ones using NESTML, and have them instantly available to create networks using the graphical interface of NEST Desktop, before simulating them efficiently using NEST as a back-end. The combined strength of these components creates a low-barrier environment for rapid prototyping and exploration of neuron, synapse and network models. References NEST (Neural Simulation Tool), Gewaltig M-O & Diesmann M (2007), 10.4249/scholarpedia.1430 NESTML 7.0.1, Linssen C et al. (2024), 10.5281/zenodo.10966350 NEST Desktop, Spreizer et al. (2021), 10.1523/eneuro.0274-21.2021 |
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| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |f H2020-SGA-FETFLAG-HBP-2017 |x 6 |
| 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 7 |
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| 700 | 1 | _ | |a Linssen, Charl |0 P:(DE-Juel1)176305 |b 1 |
| 700 | 1 | _ | |a Babu, Pooja |0 P:(DE-Juel1)186954 |b 2 |
| 700 | 1 | _ | |a Diesmann, Markus |0 P:(DE-Juel1)144174 |b 3 |
| 700 | 1 | _ | |a Morrison, Abigail |0 P:(DE-Juel1)151166 |b 4 |
| 700 | 1 | _ | |a Weyers, Benjamin |0 P:(DE-HGF)0 |b 5 |
| 856 | 4 | _ | |u https://abstracts.g-node.org/conference/BC24/abstracts#/uuid/67a7df04-9555-4332-8d50-a391ea708973 |
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| 910 | 1 | _ | |a Department of Computer Science 3 - Software Engineering, RWTH Aachen University, 52074 Aachen, Germany |0 I:(DE-HGF)0 |b 1 |6 P:(DE-Juel1)176305 |
| 910 | 1 | _ | |a Simulation & Data Lab Neuroscience, Forschungszentrum Jülich GmbH, Institute for Advanced Simulation, Jülich Supercomputing Centre (JSC), JARA, 52425 Jülich, Germany |0 I:(DE-HGF)0 |b 1 |6 P:(DE-Juel1)176305 |
| 910 | 1 | _ | |a Simulation & Data Lab Neuroscience, Forschungszentrum Jülich GmbH, Institute for Advanced Simulation, Jülich Supercomputing Centre (JSC), JARA, 52425 Jülich, Germany |0 I:(DE-HGF)0 |b 2 |6 P:(DE-Juel1)186954 |
| 910 | 1 | _ | |a Department of Computer Science 3 - Software Engineering, RWTH Aachen University, 52074 Aachen, Germany |0 I:(DE-HGF)0 |b 2 |6 P:(DE-Juel1)186954 |
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| 910 | 1 | _ | |a Department IV - Computer Science, Human-Computer Interaction, University of Trier, Trier, Germany |0 I:(DE-HGF)0 |b 5 |6 P:(DE-HGF)0 |
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| 914 | 1 | _ | |y 2024 |
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| 980 | _ | _ | |a UNRESTRICTED |
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