Published January 5, 2021
| Version 4.4.0
Software
Open
genn-team/genn: GeNN 4.4.0
Authors/Creators
- 1. University of Sussex
- 2. @Cyanapse
- 3. Mercateo
- 4. Purdue University
- 5. EnixHub
- 6. Institut de la Vision
- 7. IRCN, UTokyo
- 8. Herr
Description
Release Notes for GeNN v4.4.0 (PyGeNN 0.4.4)
This release adds a number of significant new features to GeNN and expands the documentation to cover using GeNN from Python with PyGeNN. It also includes a number of bug fixes that have been identified since the 4.3.3 release.
User Side Changes- Improved documentation covering PyGeNN now available from https://genn-team.github.io/genn/
- New system for efficiently recording spikes from multiple timesteps into GPU memory (#372).
- Connectivity can now be initialised using column-wise as well as row-wise sparse connectivity initialisation snippets (#374).
- Support for 'kernel-based' connectivity, allowing efficient support for connectivity such as convolutions (#373).
- Improved access to spike times from weight update models - previous spike times can now be accessed via
$(prev_sT_pre)and$(prev_sT_post)(#376). - Added support for accessing spike-like-event times from weight update models via
$(seT_pre)and$(prev_seT_pre)variables (#380) - Added support for continuous as well as spike-driven dynamics for pre and postsynaptic weight update model variables (#377).
- Added experimental OpenCL backend - there are still issues outstanding but any feedback would be much appreciated (#340).
- Improved supression of irrelevant NVCC warnings when optimizing block sizes (#361).
- Added support for SM 8.0 and 8.6 architectures to CUDA backend (#361).
- Number of presynaptic and postsynaptic neurons are now available via
$(num_pre)and$(num_post)in all connectivity initialisation and procedural connectivity kernels (#384)
- Fixed support for CUDA 8 and older (#361).
- Replaced deprecated
__linuxmacro with__linux__making GeNN compatible with compiler on POWER9 Linux (#363). - Fixed bug where the initialisation of neuron groups which are identical apart from one needing an RNG could be incorrectly merged (#387).
Files
genn-team/genn-4.4.0.zip
Files
(1.9 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/genn-team/genn/tree/4.4.0 (URL)