diff options
| author | Mario Mulansky <mario.mulansky@gmx.net> | 2018-09-20 10:49:42 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-09-20 10:49:42 -0700 |
| commit | 34bd30415dd93a2425ce566627e24ee9483ada3e (patch) | |
| tree | dcfa9164d46e3cf501a1e8dcf4970f350063561a /Readme.rst | |
| parent | 44d23620d2faa78ca74437fbd3f1b95da722a853 (diff) | |
Spike Order support (#39)0.6.0
* reorganized directionality module
* further refactoring of directionality
* completed python directionality backend
* added SPIKE-Sync based filtering
new function filter_by_spike_sync removes spikes that have a multi-variate
Spike Sync value below some threshold
not yet fully tested, python backend missing.
* spike sync filtering, cython sim ann
Added function for filtering out events based on a threshold for the spike
sync values. Usefull for focusing on synchronous events during directionality
analysis.
Also added cython version of simulated annealing for performance.
* added coincidence single profile to python backend
missing function in python backend added, identified and fixed a bug in the
implementation as well
* updated test case to new spike sync behavior
* python3 fixes
* another python3 fix
* reorganized directionality module
* further refactoring of directionality
* completed python directionality backend
* added SPIKE-Sync based filtering
new function filter_by_spike_sync removes spikes that have a multi-variate
Spike Sync value below some threshold
not yet fully tested, python backend missing.
* spike sync filtering, cython sim ann
Added function for filtering out events based on a threshold for the spike
sync values. Usefull for focusing on synchronous events during directionality
analysis.
Also added cython version of simulated annealing for performance.
* added coincidence single profile to python backend
missing function in python backend added, identified and fixed a bug in the
implementation as well
* updated test case to new spike sync behavior
* python3 fixes
* another python3 fix
* Fix absolute imports in directionality measures
* remove commented code
* Add directionality to docs, bump version
* Clean up directionality module, add doxy.
* Remove debug print from tests
* Fix bug in calling Python backend
* Fix incorrect integrals in PieceWiseConstFunc (#36)
* Add (some currently failing) tests for PieceWiseConstFunc.integral
* Fix implementation of PieceWiseConstFunc.integral
Just by adding a special condition for when we are only taking an
integral "between" two edges of a PieceWiseConstFunc
All tests now pass.
Fixes #33.
* Add PieceWiseConstFunc.integral tests for ValueError
* Add testing bounds of integral
* Raise ValueError in function implementation
* Fix incorrect integrals in PieceWiseLinFunc (#38)
Integrals of piece-wise linear functions were incorrect if the
requested interval lies completely between two support points.
This has been fixed, and a unit test exercising this behavior
was added.
Fixes #38
* Add Spike Order example and Tutorial section
Adds an example computing spike order profile and the optimal
spike train order. Also adds a section on spike train order to the
tutorial.
Diffstat (limited to 'Readme.rst')
| -rw-r--r-- | Readme.rst | 9 |
1 files changed, 2 insertions, 7 deletions
@@ -31,19 +31,14 @@ Additionally, depending on the used methods: ISI-distance [1], SPIKE-distance [2 Important Changelog ----------------------------- +With version 0.6.0, the spike directionality and spike train order function have been added. + With version 0.5.0, the interfaces have been unified and the specific functions for multivariate computations have become deprecated. With version 0.2.0, the :code:`SpikeTrain` class has been introduced to represent spike trains. This is a breaking change in the function interfaces. Hence, programs written for older versions of PySpike (0.1.x) will not run with newer versions. - -Upcoming Functionality -------------------------- - -In an upcoming release, new functionality for analyzing Synfire patterns based on the new measures SPIKE-Order and Spike-Train-Order method will become part of the PySpike library. -The new measures and algorithms are described in `this preprint <https://arxiv.org/abs/1610.07986>`_. - Requirements and Installation ----------------------------- |