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A Python package for simulator-independent specification of neuronal network models. In other words, you can write the code for a model once, using the PyNN API, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and PCSIM). The API has two parts, a low-level, procedural API (functions create(), connect(), set(), record(), record_v()), and a high-level, object-oriented API (classes Population and Projection, which have methods like set(), record(), setWeights(), etc.). The low-level API is good for small networks, and perhaps gives more flexibility. The high-level API is good for hiding the details and the book-keeping, and is intended to have a one-to-one mapping with FacetsML. The other thing that is required to write a model once and run it on multiple simulators is standard cell models. PyNN translates standard cell-model names and parameter names into simulator-specific names, e.g. standard model IF_curr_alpha is iaf_neuron in NEST and StandardIF in NEURON, while SpikeSourcePoisson is a poisson_generator in NEST and a NetStim in NEURON. Only a small number off cell models have been implemented so far.

URL: http://neuralensemble.org/PyNN/

Resource ID: nif-0000-23351     Resource Type: Resource     Version: Latest Version


python, software


CeCILL license





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Parent Organization

Additional Resource Types

software development tool

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Last checked up;

Original Submitter


Version Status


Submitted On

12:00am September 21, 2010

Originated From


Changes from Previous Version

First Version

Version 1

Created 5 years ago by Anonymous