Simulation and Neural network Analysis Productivity layer
Project description
|banner|
Blue Brain SNAP
Blue Brain Simulation and Neural network Analysis Productivity layer (Blue Brain SNAP).
Blue Brain SNAP is a Python library for accessing BlueBrain circuit models represented in
SONATA <https://github.com/AllenInstitute/sonata/blob/master/docs/SONATA_DEVELOPER_GUIDE.md>__ format.
|build_status| |coverage|
Installation
Blue Brain SNAP can be installed using pip::
pip install bluepysnap
Usage
There are two main interface classes provided by Blue Brain SNAP:
|circuit| corresponds to the static structure of a neural network, that is:
- node positions and properties,
- edge positions and properties, and,
- detailed morphologies.
|simulation| corresponds to the dynamic data for a neural network simulation, including:
- spike reports,
- soma reports, and,
- compartment reports.
Most of Blue Brain SNAP methods return pandas <https://pandas.pydata.org>__ Series or DataFrames,
indexed in a way to facilitate combining data from different sources (that is, by node or edge IDs).
Among other dependencies, Blue Brain SNAP relies on Blue Brain Project provided libraries:
libsonata <https://github.com/BlueBrain/libsonata>__, for accessing SONATA filesNeuroM <https://github.com/BlueBrain/NeuroM>__, for accessing detailed morphologies
Tools
Blue Brain SNAP also provides a SONATA circuit validator for verifying circuits.
The validation includes:
- integrity of the circuit config file.
- existence of the different node/edges files and
componentsdirectories. - presence of the "sonata required" field for node/edges files.
- the correctness of the edge to node population/ids bindings.
- existence of the morphology files for the nodes.
This functionality is provided by either the cli function:
.. code-block:: shell
bluepysnap validate my/circuit/path/circuit_config.json
Or a python free function:
.. code-block:: python3
from bluepysnap.circuit_validation import validate
errors = validate("my/circuit/path/circuit_config.json")
Acknowledgements
This project/research has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
The Blue Brain Project would like to thank Dr Eilif Muller <https://github.com/markovg>_, the author of the precursor to Blue Brain SNAP, for his invaluable insights and contributions
License
Blue Brain SNAP is licensed under the terms of the GNU Lesser General Public License version 3.
Refer to COPYING.LESSER <https://github.com/BlueBrain/snap/blob/master/COPYING.LESSER>__ and
COPYING <https://github.com/BlueBrain/snap/blob/master/COPYING>__ for details.
.. |build_status| image:: https://travis-ci.com/BlueBrain/snap.svg?branch=master :target: https://travis-ci.com/BlueBrain/snap :alt: Build Status
.. |coverage| image:: https://codecov.io/github/BlueBrain/snap/coverage.svg?branch=master :target: https://codecov.io/github/BlueBrain/snap?branch=master :alt: codecov.io
.. substitutions .. |banner| image:: doc/source/_images/BlueBrainSNAP.jpg .. |circuit| replace:: Circuit .. |simulation| replace:: Simulation
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bluepysnap-0.3.0.tar.gz.
File metadata
- Download URL: bluepysnap-0.3.0.tar.gz
- Upload date:
- Size: 38.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b46018192b80d978209610407afb95b10d1ff85ccf5beacb8b785dabb4a4b9be |
|
| MD5 | 02c99dbcd55dfdd735b00122ebaddcce |
|
| BLAKE2b-256 | 13cebd8060334a37de2dc66dc78212d5b2416392a0b1fbe58e68d6063f0975e0 |
