How to Install and Uninstall python3-pyspike.x86_64 Package on Fedora 38

Last updated: February 08,2025

1. Install "python3-pyspike.x86_64" package

In this section, we are going to explain the necessary steps to install python3-pyspike.x86_64 on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                python3-pyspike.x86_64
            
                    
    
    Copied

2. Uninstall "python3-pyspike.x86_64" package

This guide covers the steps necessary to uninstall python3-pyspike.x86_64 on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                python3-pyspike.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-pyspike.x86_64 package on Fedora 38

Last metadata expiration check: 4:32:05 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : python3-pyspike
Version : 0.8.0
Release : 1.fc38
Architecture : x86_64
Size : 326 k
Source : python-pyspike-0.8.0-1.fc38.src.rpm
Repository : updates
Summary : Library for the numerical analysis of spike train similarity
URL : https://github.com/mariomulansky/PySpike
License : BSD-2-Clause
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], SPIKE-Synchronization [3], as well as their adaptive
: generalizations[4]. 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*, Software X 5, 183 (2016)
:
: Additionally, depending on the used methods: ISI-distance [1], SPIKE-distance
: [2], SPIKE-Synchronization [3], or their adaptive generalizations [4], 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 113, 3432 (2015)
:
: [4] Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, and
: Kreuz T, Measures of spike train synchrony for data with multiple time-scales,
: J Neurosci Methods 287, 25 (2017)
:
: Documentation is available at http://mariomulansky.github.io/PySpike/