- models now have the parameter `sampling_dt` which will downsample the output to a specified step size (in ms) - loadData: add subject-wise length matrices `ds.Dmats`
0.5.9
- `ALN` model added to the multimodel framework - `ThalamicMassModel` now works with autochunk for very long simulations with minimal RAM usage!
0.5.8
- Hotfix: include `pypet_logging.ini` in pypi package - Evolution: new method `getIndividualFromHistory()`
0.5.7
- `example-0.5`: Demonstrating the use of external stimuli on brain networks - `example-1.3`: 2D bifurcation diagrams using `pypet` - `bold`: BOLD numerical overflow bug fixed - `evolution`: dfEvolution and dfPop fix - `exploration`: fix seed for random initial conditions - various minor bugfixes
0.5.5
- Hotfix for RNG seed in exploration: Seed `None` is now converted to `"None"` for for `pypet` compatibility only when saving the `model.params` to the trajectory. - Fix: `dfEvolution` drops duplicate entries from the `evolution.history`.
0.5.4
- New function `func.construct_stimulus()` - New example of stimulus usage: `examples/example-0.5-aln-external-stimulus.ipynb` - Fixed RNG seed bug, where the seed value None was converted to 0 (because of pypet) and lead to a predictable random number generator