There is a newer version of the record available.

Published October 11, 2023 | Version ml_genn_2_1

genn-team/ml_genn: mlGeNN 2.1

  • 1. @ImperialCollegeLondon
  • 2. Imperial College London

Description

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)

Files

genn-team/ml_genn-ml_genn_2_1.zip

Files (578.0 kB)

Name Size Download all
md5:d78343a3460f3cc315204d03cb1d0662
578.0 kB Preview Download

Additional details

Related works