neurolib
                                
                                
                                
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                        Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
There should be a way to list all available models. Similar to how TVB handles it would be nice: http://docs.thevirtualbrain.com/_modules/tvb/simulator/models.html
`tqdm` offers a very nice wrapper around for loops for easy progress bars. This could be implemented easily in `Model.integrate_chunkwise()`.
- The file `neurolib/utils/loadData.py` should be called something like `dataset.py` because it only includes that class. - Data loading should be easier. Right now we have `ds = Dataset("gw")` and...
Corrected the typo in the loadDefaultParameters.py file of the Hopf model. Previously, seed was set to 0 by default, which made the random numbers predictable, and resulted in the same...
- minor changes in model implementation for consistency with other models - full implementation of OC for WW model - test of OC for WW model
The example-0-aln-minimal notebook is encountering some kind of error, even when being run through the binder found on the GitHub page. The final plots are not returning the results that...
After making efforts to run the multimodel custom model of Jansen-Rit and thalamus, I have been keeping on receiving errors that are possibly related to deprecation issues. A common issue...
Parameters provided in examples (and default parameters) does not perform BOLD simulation correctly
For some reason I do not understand, the append_outputs parameter in `model.run()` is defaulted to `None` and thus `False` in `model.integrateChunkwise()`. Meanwhile, the bold simulation in `model.simulateBold()` pulls from `self.default_output`....
**Summary:** This pull request adds a Jupyter notebook that constructs a lead-field matrix corresponding to the Automated Anatomical Labeling 2 (AAL2) atlas and the standard 1020 electroencephalography (EEG) electrode configuration....