EDeN Update: Spiking network renderer
Please see below a tutorial video for the new ‘spikerenderer’ this shows how the EDeN network is propagating spikes from input links to output probes. It also comes with a variety of nice shader backgrounds to keep your attention.
If you feel like creating an account, and downloading the builds please signup here: https://eden-portal.co.uk/
(The website will undergo variable changes to improve usability)
For a license please contact me at: contact@optishell.co.uk
EDeN Update: MACOS Build completed and released to Beta for testing
A few months have passed and the MAC Build is now fully up and running!
And what a tonne of work it has been….
Given the MACOS doesn’t have a clean IDE like visualstudio that wraps all projects together, combined with apple silicon, intel silicon, backwards compatability issues etc, there has been quite a lot of work , far more than expected.
However, in doing this – it opens up the entire solution (python C++,C# training environment) to MACOS users
Please see the below diagram showing the high level project diagram. Tutorials and examples will follow after benchmarking is proving reliable results.
If you feel like creating an account, and downloading the builds please signup here: https://eden-portal.co.uk/
(The website will undergo variable changes to improve usability)
For a license please contact me at: contact@optishell.co.uk
Happy new year, and here’s to a great 2026!

EDeN Update: Benchmark continued and mac build
Many issues have since been uncovered and now fixed in benchmarking.
In order to guarantee and good results when in the hands of future users, I have decided to keep testing until the benchmarks return good results after a short amount of time reliably!
All for now!
EDeN Update: Benchmarking pre-release checking
Just a quick update this time around!
Console followed by training environment benchmarks are underway.
The training environment benchmark will be recorded and uploaded to the https://eden-portal.co.uk/ site.
Where console will be for internal use only, and for optimising speed of neuron execution in the future.
- The next step is introducing audio training methods and cross platform to Mac, along side GPU offloading for additional license option.





