Information for RPM python-pynn-devel-0.10.1-2.fc38.riscv64.rpm
| ID | 1015739 | ||||||
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| Name | python-pynn-devel | ||||||
| Version | 0.10.1 | ||||||
| Release | 2.fc38 | ||||||
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| Arch | riscv64 | ||||||
| Summary | A package for simulator-independent specification of neuronal network models | ||||||
| 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. | ||||||
| Build Time | 2023-05-29 12:49:08 GMT | ||||||
| Size | 10.48 KB | ||||||
| be3b09e58ad301c0e760a0e8b21db02e | |||||||
| License | CECILL-2.0 | ||||||
| Buildroot | f38-build-718949-96767 | ||||||
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