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mlGeNN 2.3.0

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@neworderofjamie neworderofjamie released this 02 Dec 10:24
· 4 commits to master since this release
ml_genn_2_3_0
d781b65

This release adds a number of new features to mlGeNN as well as including a number of bug fixes that have been identified since the 2.2.1 release. This version requires GeNN 5.1.0.

User Side Changes

  • Added support for performing regression using EventProp (#98)
  • Added support for training models with fixed and learnable heterogeneous delays with EventProp (#104)
  • Added re-implementation of best-performing SHD model from "Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks" to examples (#114)
  • Added Yin yang dataset, Time To First Spike readout and event-prop implementation (#117)

Bug fixes

  • Fixed issue with input neurons with batch size 1 (#103)
  • Fixed several bugs in the EventProp compiler (#110, #115)
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