How to Install and Uninstall python3-pyspike.x86_64 Package on Fedora 36

Last updated: September 27,2024

1. Install "python3-pyspike.x86_64" package

This guide let you learn how to install python3-pyspike.x86_64 on Fedora 36


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                python3-pyspike.x86_64
            
                    
    
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2. Uninstall "python3-pyspike.x86_64" package

This is a short guide on how to uninstall python3-pyspike.x86_64 on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-pyspike.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-pyspike.x86_64 package on Fedora 36

Last metadata expiration check: 1:51:34 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-pyspike
Version : 0.7.0
Release : 2.fc36
Architecture : x86_64
Size : 255 k
Source : python-pyspike-0.7.0-2.fc36.src.rpm
Repository : fedora
Summary : Library for the numerical analysis of spike train similarity
URL : https://github.com/mariomulansky/PySpike/
License : BSD
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/