
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
| 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). | 0 | |
| 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 |
