Bluepy is now Bluepysnap ! : https://github.com/BlueBrain/snap
This repository is not maintained anymore.
Bluepy is a Python library for accessing BlueBrain circuit models.
The main two interface classes exposed are Circuit and Simulation.
Circuit corresponds to the static structure of a neural network, i.e.:
- cell positions / properties
- synapse positions / properties
- detailed morphologies
- electrical models
- subcellular data (gene expressions, protein concentrations)
- spatial index of morphology segments
- spatial index of synapses
Simulation corresponds to the result of a dynamic simulation of the network, i.e. spikes, voltage traces and other binary reports recording neural activity.
Most of |name| methods return pandas Series or DataFrames, indexed in a way to facilitate combining data from different sources (for instance, synapse reports with corresponding synapse positions).
Among other dependencies, |name| relies on BBP-provided libraries:
- MorphIO for access to detailed morphologies
- Brion for access to binary simulation reports
- bluepy_configfile for BlueConfig parsing
- libFLATIndex for access to segment / synapse spatial indices
.. toctree:: :hidden: :titlesonly: Home <self> install usage migration settings cookbook devguide changelog
- Eilif Muller
- Miha Pelko
- Jeff Muller
- Ronny Hattelan
- Pierson Fleischer
- John Kenyon
- Valentin Haenel
- Mike Gevaert
The development of this software was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology.
Copyright (c) 2024 Blue Brain Project/EPFL