How to Install and Uninstall python3-brian Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 07,2024
1. Install "python3-brian" package
Please follow the guidance below to install python3-brian on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
Copied
$
sudo apt install
python3-brian
Copied
2. Uninstall "python3-brian" package
Please follow the instructions below to uninstall python3-brian on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-brian
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-brian package on Ubuntu 21.10 (Impish Indri)
Package: python3-brian
Architecture: all
Version: 2.4.2-6
Priority: optional
Section: universe/python
Source: brian
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3021
Depends: cython3, python3-jinja2, python3-numpy, python3-pkg-resources, python3-pyparsing, python3-sympy, python3:any, python3-brian-lib (>= 2.4.2-6), python3-matplotlib, python3-scipy, python3-setuptools
Suggests: python-brian-doc, python3-nose, python3-cherrypy
Filename: pool/universe/b/brian/python3-brian_2.4.2-6_all.deb
Size: 464920
MD5sum: d2b63a535ca0726a11884fff3bcd5c72
SHA1: b205f2e9c63af69ed29bf4befa35bd113452584e
SHA256: 1f1c870bb791d44f20171ee2044939d06f22f3b70330c7b1735f09bfc4f3edb9
SHA512: 47ade97a56d0d755d674fa5f4d04ebf71f7c5c848d2940e83f3afc36c17e609a82b82342a8e9b3c230139b46eddd477e5fbff0829b94dc2d6ecb5d7bb00a2a18
Homepage: http://www.briansimulator.org/
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
Architecture: all
Version: 2.4.2-6
Priority: optional
Section: universe/python
Source: brian
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3021
Depends: cython3, python3-jinja2, python3-numpy, python3-pkg-resources, python3-pyparsing, python3-sympy, python3:any, python3-brian-lib (>= 2.4.2-6), python3-matplotlib, python3-scipy, python3-setuptools
Suggests: python-brian-doc, python3-nose, python3-cherrypy
Filename: pool/universe/b/brian/python3-brian_2.4.2-6_all.deb
Size: 464920
MD5sum: d2b63a535ca0726a11884fff3bcd5c72
SHA1: b205f2e9c63af69ed29bf4befa35bd113452584e
SHA256: 1f1c870bb791d44f20171ee2044939d06f22f3b70330c7b1735f09bfc4f3edb9
SHA512: 47ade97a56d0d755d674fa5f4d04ebf71f7c5c848d2940e83f3afc36c17e609a82b82342a8e9b3c230139b46eddd477e5fbff0829b94dc2d6ecb5d7bb00a2a18
Homepage: http://www.briansimulator.org/
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