This code is associated with the paper from Maboudi et al., "Uncovering temporal structure in hippocampal output patterns". eLife, 2018. http://dx.doi.org/10.7554/eLife.34467

Tutorials

Several short tutorials demonstrating specific objects, features, or patterns commonly used in nelpy.

If you plan to view these notebooks online, we recommend you to use nbviewer, which has a much better rendering engine than github. You can access this repository at http://nbviewer.jupyter.org/github/nelpy/tutorials .

Selected tutorials

The tutorials should be followed roughly in order.

• WhirlwindTour.ipynb—quick overview and simple examples demonstrating the nelpy object model. Start here!
• EpochArrayTutorial.ipynb—a closer look at the EpochArrays object.
• AnalogSignalArrayTutorial.ipynb—a closer look at the AnalogSignalArray object.
• more coming soon!

Coming soon-ish

To add soon:

• working with contiguous but disjoint epochs (and what to do if your epochs are not disjoint)
• fixing up a falsely discontinuous object with merge
• training a hidden Markov model on some animal behavior
• filtering?
• position decoding accuracy (internal and external) and cross-validation
• monkey patching
• setting domains of objects
• accessing data with asarray and advanced slicing
• AnalogSignalArrays vs BinnedSpikeTrainArrays, and moving between them
• Saving and loading results
• nelpy FigureContextManager to skip over expensive cells
• ...