| Name : python3-pyspike
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| Version : 0.7.0
| Vendor : Fedora Project
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| Release : 5.fc38
| Date : 2023-01-20 17:33:49
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| Group : Unspecified
| Source RPM : python-pyspike-0.7.0-5.fc38.src.rpm
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| Size : 1.25 MB
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| Packager : Fedora Project
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| Summary : Library for the numerical analysis of spike train similarity
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Description :
PySpike is a Python library for the numerical analysis of spike train
similarity. Its core functionality is the implementation of the ISI-distance
[1] and SPIKE-distance [2] as well as SPIKE-Synchronization [3]. It provides
functions to compute multivariate profiles, distance matrices, as well as
averaging and general spike train processing. All computation intensive parts
are implemented in C via Cython to reach a competitive performance (factor
100-200 over plain Python).
PySpike provides the same fundamental functionality as the SPIKY framework for
Matlab, which additionally contains spike-train generators, more spike train
distance measures and many visualization routines.
If you use PySpike in your research, please cite our SoftwareX publication on
PySpike:
Mario Mulansky, Thomas Kreuz, PySpike - A Python library for analyzing spike
train synchrony, SoftwareX, (2016), ISSN 2352-7110,
http://dx.doi.org/10.1016/j.softx.2016.07.006.
Additionally, depending on the used methods: ISI-distance [1], SPIKE-distance
[2] or SPIKE-Synchronization [3], please cite one or more of the following
publications:
[1] Kreuz T, Haas JS, Morelli A, Abarbanel HDI, Politi A, Measuring spike train
synchrony. J Neurosci Methods 165, 151 (2007)
[2] Kreuz T, Chicharro D, Houghton C, Andrzejak RG, Mormann F, Monitoring spike
train synchrony. J Neurophysiol 109, 1457 (2013)
[3] Kreuz T, Mulansky M and Bozanic N, SPIKY: A graphical user interface for
monitoring spike train synchrony, J Neurophysiol, JNeurophysiol 113, 3432
(2015)
Documentation is available at http://mariomulansky.github.io/PySpike/
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