| Name : python3-pynn
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| Version : 0.12.1
| Vendor : Fedora Project
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| Release : 2.fc38
| Date : 2024-02-12 22:51:04
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| Group : Unspecified
| Source RPM : python-pynn-0.12.1-2.fc38.src.rpm
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| Size : 55.41 MB
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| Packager : Fedora Project
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| Summary : A package for simulator-independent specification of neuronal network models
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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.
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RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora/linux/updates/38/Everything/x86_64/Packages/p |
