Release v0.8.0 #340
Merged
Release v0.8.0 #340
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Member
dizcza
commented
Aug 7, 2020
•
dizcza
commented
- Rerun ASSET tutorial and saved (got rid of uninformative progress bars).
- Bumped up the version to v0.8.0.
- Changed downloads per day to downloads per month (I found it's more informative).
BranchBroxy
pushed a commit
to BranchBroxy/elephant
that referenced
this pull request
Sep 15, 2020
* faster mean_firing_rate for a typical use case (NeuralEnsemble#331) * explicit doc of how the firing rate is computed * Timescale function option to return nan if there are few spikes (<=2) (NeuralEnsemble#328) * include option to return np.nan if spiketrains are too short and change raised error to more meaningful ones * Build documentation in Travis (NeuralEnsemble#335) * 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 warnings from 0.7.0 (NeuralEnsemble#306) * removed deprecation warning from unitary event analysis * removed homogeneous_poisson_process_with_refr_period * don't import pandas_bridge * don't use nan * don't pad with zeros * bin_shrink_factor parameter * precompute edges for _binning_half_overlap * deal with spiketrains of length 1 * return trace optionally * ASSET optimized probability_matrix_analytical and looping in _jsf_uniform_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> * Naming convention (binsize -> bin_size, etc.) (NeuralEnsemble#316) * Release v0.8.0 (NeuralEnsemble#340) * all quantities * python2 issues * python2 issues again * Update acknowledgments.rst Added funding acknowledgements from HBP SGA3. * added __all__ in elephant modules (NeuralEnsemble#342) * Added a warning in fanofactor function when the input spiketrains vary in their durations (NeuralEnsemble#341) * fixed wrong default min_bin units * naming * download & unzip API * Feature/inhomogeneous gamma (NeuralEnsemble#339) * Added information on citing Elephant to documentation, fixed bib entries (NeuralEnsemble#345) * Added CITATION.txt file to manifest, so it's included in packages. * Fixed doi entry to not include the doi resolver. * Three surrogate methods: Trial-shifting, Bin Shuffling, ISI dithering (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> * SPADE: New way to count patterns for multiple testing (NeuralEnsemble#347) Co-authored-by: stellalessandra <a.stella@fz-juelich.de> Co-authored-by: p-bouss <peter.bouss@googlemail.com> * spike synchrony doc; take the first 5 networks to run the test * renamed test module * group spike train correlation, dissimilarity, and synchrony * tutorials: changed wget to curl for platform compatibility (NeuralEnsemble#350) * Time-domain pairwise Granger causality (NeuralEnsemble#332) 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> Co-authored-by: Aitor MG <43403140+morales-gregorio@users.noreply.github.com> Co-authored-by: Cristiano Köhler <c.koehler@fz-juelich.de> Co-authored-by: Michael Denker <m.denker@fz-juelich.de> Co-authored-by: pbouss <34713558+pbouss@users.noreply.github.com> 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> Co-authored-by: Regimantas Jurkus <regimantas.jurkus@gmail.com> Co-authored-by: ackurth <a.kurth@fz-juelich.de> Co-authored-by: ackurth <44397333+ackurth@users.noreply.github.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.