Age | Commit message (Collapse) | Author |
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* 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.
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Remove Python 3.3 from travis
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Make merge_spike_trains work with empty spike trains, and faster
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Python 3.3 is not supported by scipy anymore. This removes Python 3.3 from the CI environments.
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1. Fixes https://github.com/mariomulansky/PySpike/issues/30
2. Code is faster
3. Add test case
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Merge v 0.5.2
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defer numpy import to allow install_requires to do its job (fixes #24)
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Conflicts:
pyspike/__init__.py
resolved
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new function import_spike_trains_from_time_series that loads spike trains
from time series.
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treatment of empty lines was incorrect. now empty spike trains are created
from empty lines in the txt file if parameter ignore_empty_lines=False is
given.
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save_spike_trains_to_txt allows to save spike train data into txt files which
can then be loaded via load_spike_trains_from_txt again.
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Unified interface
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removed all occasions of *multi functions from examples as they are considered
deprecated now. Uses unified interface everywhere.
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with the new interface, the previous functions for computing multivariate
profiles and distances are obsolete. This is now noted in the docs.
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fixed ugly bugs in code for computing multi-variate spike sync profile and
multi-variate spike sync value.
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Similar to the isi and spike distance functions, also the spike sync functions
now support the new generic interface.
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spike_profile and spike_distance now have a generic interface that allows
to compute bi-variate and multi-variate results with the same function.
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isi profile and distance functionc an now compute bi-variate and multi-variate
results. Therefore, it can be called with different "overloads".
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Spike trains with single spikes now only get auxiliary spikes at the edges
for the SPIKE distance instead of real spikes before.
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