How to Install and Uninstall python3-brian Package on Kali Linux

Last updated: May 14,2024

1. Install "python3-brian" package

Please follow the step by step instructions below to install python3-brian on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-brian
            
                    
    
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2. Uninstall "python3-brian" package

This guide covers the steps necessary to uninstall python3-brian on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-brian
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-brian package on Kali Linux

Package: python3-brian
Source: brian
Version: 2.5.4-4
Installed-Size: 4345
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-jinja2, python3-numpy, python3-packaging, python3-pkg-resources, python3-pyparsing, python3-sympy, python3:any, python3-brian-lib (>= 2.5.4-4), python3-matplotlib, python3-scipy, python3-setuptools
Recommends: cython3
Suggests: python-brian-doc, python3-pytest, python3-sphinx, python3-dev, g++, libgsl-dev, make, python3-cherrypy
Size: 597376
SHA256: 9ad75e5a95c049cb96a7208fdf379756967b16e9e4258f6618d9a8ddad124f53
SHA1: 4fbdb5a2de742e0978d16968900905a8e77f0699
MD5sum: 40b469e2b3dd3121b1afec1d07e8835d
Description: simulator for spiking neural networks
Brian is a clock-driven simulator for spiking neural networks. It is
designed with an emphasis on flexibility and extensibility, for rapid
development and refinement of neural models. Neuron models are
specified by sets of user-specified differential equations, threshold
conditions and reset conditions (given as strings). The focus is
primarily on networks of single compartment neuron models (e.g. leaky
integrate-and-fire or Hodgkin-Huxley type neurons). Features include:
- a system for specifying quantities with physical dimensions
- exact numerical integration for linear differential equations
- Euler, Runge-Kutta and exponential Euler integration for nonlinear
differential equations
- synaptic connections with delays
- short-term and long-term plasticity (spike-timing dependent plasticity)
- a library of standard model components, including integrate-and-fire
equations, synapses and ionic currents
- a toolbox for automatically fitting spiking neuron models to
electrophysiological recordings
Description-md5:
Homepage: https://www.briansimulator.org/
Section: python
Priority: optional
Filename: pool/main/b/brian/python3-brian_2.5.4-4_all.deb