Published September 20, 2026 | Version 1.1

hetero

Authors/Creators

  • 1. University Medical Center Göttingen

Contributors

Contact person:

Rights holder:

  • 1. University Medical Center Göttingen

Description

hetero simulates recurrent neural networks whose neurons are heterogeneous in their time constants, benchmarks them on a family of temporal tasks, and quantifies how much of the task performance is explained by heterogeneity. Rate and spiking network dynamics (leaky integrate-and-fire), several stimulus sources, and a family of temporal tasks are driven from a single command-line entry point; fitted models can be compared against baselines and benchmarked on the reference computing systems used in the accompanying publication.

Files

hetero.zip

Files (52.2 MB)

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Additional details

Related works

Is derived from
Software: https://gitlab.gwdg.de/golmohammadi/hetero (URL)
Is documented by
Software documentation: https://gitlab.gwdg.de/golmohammadi/hetero/-/blob/main/README.md (URL)

Funding

European Commission
ESCAPE - European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures 824064