This release adds a number of significant new features to mlGeNN including support for training models using EventProp, as well as including a number of bug fixes that have been identified since the 2.0 release. User Side Changes EventProp compiler for training models with EventProp (#57, #64, #70) System so compilers can define default settings for neuron models e.g. reset behaviour (#63) Support for time varying inputs as well as a wider range of input neuron types (#69) Spike-like event recording (#54) Spike count recording (#73) Bug fixes Fixed issues with manual training loops e.g. for augmentation (#74, #78) Fixed issue with management of callback state (#65) Fixed issue with loading and unloading compiled networks (#66)