Unified generation and analysis of networks in Python, with neuroscientific additions
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Published by Silmathoron about 7 years ago
Corrected a wrong test that made groups only able to be either sources or targets but not both at the same time.
Published by Silmathoron about 7 years ago
A lot of internal improvements have been added and the basic functions have been more thoroughly tested.
Published by Silmathoron over 7 years ago
With this new release, three main updates have been added:
geometry
module, from the SENeC package PyNCulture
. So far, edge distance is still computed as the simple distance between neurons, not taking potential obstacles into account.fixed/gaussian_degree
methods, as well as the distance_rule
generator.set_minis
method to simulate synaptic noise from spontaneous release of neurotransmitters.Other improvements:
globals.py
and moved features to lib
Planned improvements for next release:
Published by Silmathoron over 8 years ago
Further optimization of library support with direct inheritance of library graph objects by Graph
and its subclasses (this means that networkx
, igraph
and graph-tool
functions can now be used directly on Graph
instances).
The library now fully supports all python versions from 2.7 to 3.5 and continuous integration through Travis is on its way.
New graph generators (fixed_degree
, distance_rule
) have also been added, as well as analysis functions to characterize the activity of the networks modeled with NEST.
Eventually, basic graph IO has been implemented.
Planned improvements for next release:
Published by Silmathoron almost 9 years ago
Here comes the 2nd release for my favorite debuggers ;)
Published by Silmathoron almost 9 years ago
This is a first step for the NNGT package: it's going to be tested at that point, so though it's not ready yet, let's call it the first official non-released version... yeah!