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

Last metadata expiration check: 3:15:47 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-pynn
Version : 0.12.1
Release : 2.fc38
Architecture : x86_64
Size : 12 M
Source : python-pynn-0.12.1-2.fc38.src.rpm
Repository : updates
Summary : A package for simulator-independent specification of neuronal network models
URL : http://neuralensemble.org/PyNN/
License : CECILL-2.0
Description : PyNN (pronounced 'pine') is a simulator-independent language for building
: neuronal network models.
:
: In other words, you can write the code for a model once, using the PyNN API and
: the Python programming language, and then run it without modification on any
: simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number
: of neuromorphic hardware systems.
:
: The PyNN API aims to support modelling at a high-level of abstraction
: (populations of neurons, layers, columns and the connections between them)
: while still allowing access to the details of individual neurons and synapses
: when required. PyNN provides a library of standard neuron, synapse and synaptic
: plasticity models, which have been verified to work the same on the different
: supported simulators. PyNN also provides a set of commonly-used connectivity
: algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes
: it easy to provide your own connectivity in a simulator-independent way.
:
: Even if you don’t wish to run simulations on multiple simulators, you may
: benefit from writing your simulation code using PyNN’s powerful, high-level
: interface. In this case, you can use any neuron or synapse model supported by
: your simulator, and are not restricted to the standard models.
:
: Documentation: http://neuralensemble.org/docs/PyNN/
: Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensemble
:
: This package supports the NEURON, NEST, and Brian simulators.