Refactored Spike Contrast method #1
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* explicit doc of how the firing rate is computed
…NeuralEnsemble#328) * include option to return np.nan if spiketrains are too short and change raised error to more meaningful ones
* fixed _check_consistency in BinnedSpikeTrain and parallel.ipynb notebook * added docs build in travis; fixed plt.eventplot(spiketrains) * don't use conda-forge channel for python 2.7 * install extra requirements in docs build * conda install pandoc * travis hangs * travis doc mpi error * travis check if error is occurred * Revert "travis check if error is occurred" This reverts commit 3e59894. * reverted travis
* removed deprecation warning from unitary event analysis * removed homogeneous_poisson_process_with_refr_period * don't import pandas_bridge
…form_orderstat_3d (NeuralEnsemble#333) * removed annoying short-lasting tranges * vectorized probability_matrix_analytical * ASSET iterate indices optimized * replaced np.diff(prepend, append) by manually prepending and appending Co-authored-by: Cristiano Köhler <c.koehler@fz-juelich.de>
Added funding acknowledgements from HBP SGA3.
…y in their durations (NeuralEnsemble#341)
…nt into pr/spike_contrast
…ies (NeuralEnsemble#345) * Added CITATION.txt file to manifest, so it's included in packages. * Fixed doi entry to not include the doi resolver.
…NeuralEnsemble#343) Co-authored-by: stellalessandra <a.stella@fz-juelich.de> Co-authored-by: p-bouss <peter.bouss@googlemail.com> Co-authored-by: Cristiano Köhler <42555442+kohlerca@users.noreply.github.com>
…#347) Co-authored-by: stellalessandra <a.stella@fz-juelich.de> Co-authored-by: p-bouss <peter.bouss@googlemail.com>
Co-authored-by: ackurth <a.kurth@fz-juelich.de> Co-authored-by: ackurth <44397333+ackurth@users.noreply.github.com> Co-authored-by: dizcza <dizcza@gmail.com> Co-authored-by: Michael Denker <m.denker@fz-juelich.de>
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Dear Philipp,
this is the refactored version that we agree on from Elephant side + hundreds of other commits that now included in master (please merge your private master branch with the up-to-date NeuralEnsemble/master branch in order to get rid of unrelated commits or just accept the changes in this pull request).
The easiest way to proceed for you is to
Once you accept this pull request (step 1), your original pull request will be automatically updated with our changes.
If you have questions about how to merge this pull request, write them down in the comments.
Cheers,
Danylo