How to Install and Uninstall python-brian Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 04,2024

1. Install "python-brian" package

Here is a brief guide to show you how to install python-brian on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-brian
            
                    
    
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2. Uninstall "python-brian" package

Please follow the steps below to uninstall python-brian on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-brian
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-brian package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-brian
Priority: extra
Section: universe/python
Installed-Size: 2456
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: brian
Version: 1.4.3-1
Depends: python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1)
Recommends: python-sympy
Suggests: python-brian-doc, python-nose, python-cherrypy
Filename: pool/universe/b/brian/python-brian_1.4.3-1_all.deb
Size: 399380
MD5sum: 38b4af662fa8b47bd08f1780b41c07b3
SHA1: 1026cb23170136e7b3bfc13a9b58158b699df220
SHA256: 38f33de95f14ac719a3d0679a443967539763f698d73c8179a737eee3b14bae2
Description-en: 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: 7da3c092183c4b2290631d2306fb1693
Homepage: http://www.briansimulator.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu