A lighter non-docker build, supporting: the fast forward euler, and the brian2 adexponential.
A working travis.ci build.
Simulated observation tests, with intuitively low error.
For passive tests only, use of the new extract-feature method in the base class defined in passive.py (edited)
All the Allen Tests should still work but I have not checked them in a while.
Optimize is now a method that inherits from the class list. Making the syntactic sugar:
The travis build may not show completion, but I don't think it fails on something substantial. https://travis-ci.com/russelljjarvis/neuronunit/jobs/245014372
Here is a summary of developments.
possible