<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

NESTML 5.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 May 2022Publisher:Zenodo

Authors: Linssen, Charl A.P.; Babu, Pooja N.; Benelhedi, Ayssar; De Schepper, Robin; Fardet, Tanguy; Eppler, Jochen Martin; Rumpe, Bernhard; +1 Authors

doi: 10.5281/zenodo.5784174 , 10.5281/zenodo.5784175

NESTML 5.0.0

- Summary
- Related research
  (6)
- Metrics

Abstract

NESTML 5.0.0 contains many fixes, enhancements in user experience, and adds language support for vectors and synaptic plasticity models. It increases the versatility in generating code from different target platforms, by making it easier to use a different set of code generation templates, and extensive internal refactoring of the "printer" classes for elements of the abstract syntax tree. It makes the definitions of "inhibitory" and "excitatory" spiking input ports more clear in neuron models. Support for running NESTML in Docker was added. Fixes running multithreaded in NEST. Issues fixed with updated software dependencies (Antlr 4.10), many small bug fixes and documentation updates. For the complete release notes, please see the release page on GitHub (https://github.com/nest/nestml/releases).

Related Organizations

Max Planck Institute of Neurobiology
Germany
University of Pavia
Italy
University of Tübingen
Germany
RWTH Aachen University
Germany
Max Planck Society
Germany

View all View all

Filter by relation

All relations

arrow_drop_down

6 Research products, page 1 of 1

NESTML: a modeling language for spiking neurons
2016IsAmongTopNSimilarDocuments
Reengineering Nestml With Python And Monticore
2018IsAmongTopNSimilarDocuments
NESTML 5.1.0
2022IsAmongTopNSimilarDocuments
NESTML 5.1.0
2022IsPreviousVersionOf
Reengineering of NestML with Python
2018IsAmongTopNSimilarDocuments
NESTML 4.0
2021IsNewVersionOf

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average