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genn-team/ml_genn: mlGeNN 2.40

Authors: neworderofjamie; James Paul Turner; Ajay Subramanian; Thomas Nowotny; mbalazs98; Isabella Forero; Soheil H; +4 Authors

genn-team/ml_genn: mlGeNN 2.40

Abstract

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 2.3.1 release. This version requires GeNN 5.1.0. User Side Changes Added 'Relative mean square' loss function inspired by DelGrad (#157) Added Deep R rewiring support to EPropCompiler (#94) Added warning for case when a model is compiled using EventPropCompiler without any readouts by (#151) Bug fixes Fixed issue where sparse cross-entropy loss function didn't work with batch size 1 (#154) New Contributors Massive thanks to our new contributor @s0hei1 who made their first contribution in #151

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average