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Published December 18, 2024 | Version 8.0.0
Software Open

NESTML 8.0.0

  • 1. Simulation & Data Lab Neuroscience, Forschungszentrum Jülich GmbH, Institute for Advanced Simulation, Jülich Supercomputing Centre (JSC), JARA, 52425 Jülich, Germany; Department of Computer Science - 3, Faculty 1, RWTH Aachen University, DE-52074 Aachen, Germany
  • 2. Simulation & Data Lab Neuroscience, Forschungszentrum Jülich GmbH, Institute for Advanced Simulation, Jülich Supercomputing Centre (JSC), JARA, 52425 Jülich, Germany
  • 3. Peter Grünberg Institute Neuromorphic Software Ecosystems (PGI-15), Forschungszentrum Jülich GmbH
  • 4. Peter Grünberg Institute Electronic Materials (PGI-7), Forschungszentrum Jülich GmbH
  • 5. Institute for Advanced Simulation (IAS-6), JARA BRAIN Institute Structure-Function Relationships (INM-10), Jülich Research Centre GmbH, Jülich, Germany
  • 6. Institute for Advanced Simulation (IAS-6), Computational and Systems Neuroscience, Jülich Research Centre GmbH, Jülich, Germany
  • 7. PGI-15, Forschungszentrum Jülich GmbH, Jülich, Germany; TU Chemnitz, Germany
  • 8. Software Engineering, RWTH Aachen University, Aachen, Germany
  • 9. Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Simulation & Data Lab Neuroscience, Institute for Advanced Simulation, Jülich Supercomputing Centre (JSC), Jülich Research Centre, Jülich, Germany; Department of Computer Science 3 - Software Engineering, RWTH Aachen University, Aachen, Germany

Description

NESTML 8.0.0 contains simplifications in the language syntax and a more unambiguous definition of the semantics of language elements. It includes many improvements in documentation, bug fixes, as well as new tutorials.For further information, please visit https://github.com/nest/nestml.

  • Neuron and synapse models were combined into just "models". This means that the top-level keywords neuron and synapse should be replaced by model. In order to distinguish which is which, the model names should either end in the suffixes _neuron and _synapse, or alternatively, be passed in a list of neuron_models and synapse_models in the NEST code generator options (see https://nestml.readthedocs.io/en/latest/pynestml.codegeneration.html#pynestml.codegeneration.nest_code_generator.NESTCodeGenerator).
  • The deliver_spike() built-in function was replaced by emit_spike(), which is now used both by neuron and synapse.
  • Add explicit output parameters to spiking output ports: if emit_spike(foo, bar) is called, then the spiking output port should be parameterised by two parameters with types equal to (or castable to) those of foo and bar. (#1124)
  • Synapse models should also call integrate_odes() explicitly in the update block if ODEs are defined in the synapse model.
  • Variables corresponding to synaptic weight and delay should now be specified as code generator options rather than @nest::name annotations in the synapse model itself (#1044)
  • NEST Desktop is added as a new target platform (#802)
  • Improved third-factory plasticity using a more efficient spike-based buffer (#1078)
  • Add predefined timestep() function (#1100)
  • A new "pretty" code rendering feature (#1081)
  • Small improvements in use interface and error reporting (#1098, #1086)
  • Fix for STDP buffer logic (#1061, #1089)
  • Fix for spike threshold check in aeif models (#1096)
  • Compartmental neuron model vectorisation for improved runtime performance (#989)
  • integrate_odes() automatically integrates the dynamics for higher-order ODEs (#1139, #1147)
  • Added Bouhadjar sequence learning network tutorial (#1026)
  • Minimum Python version requirement is now 3.9 (#1138)

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Related works

Is new version of
10.5281/zenodo.10966350 (DOI)