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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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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
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* 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
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new_directionality
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missing function in python backend added, identified and fixed a bug in the
implementation as well
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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.
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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.
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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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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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Conflicts:
pyspike/__init__.py
pyspike/cython/cython_directionality.pyx
pyspike/cython/directionality_python_backend.py
pyspike/spike_directionality.py
setup.py
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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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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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fixed bug within new edge correction (auxiliary spike was ignored in some
cases)
added regression test with 10000 random spike train sets
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directionality development happens in separate branch.
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Eero's improved edge correction now also implemented in the python backend.
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Improvement following Eeros suggestions to use auxiliary spike at the edges
consistently with the corresponding corrected ISI intervals.
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Signed-off-by: Igor Gnatenko <i.gnatenko.brain@gmail.com>
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Signed-off-by: Igor Gnatenko <i.gnatenko.brain@gmail.com>
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Signed-off-by: Igor Gnatenko <i.gnatenko.brain@gmail.com>
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missing function in python backend added, identified and fixed a bug in the
implementation as well
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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.
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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.
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