Skip to main content

The Pythonic Blue Brain simulator access

Project description

banner

BlueCelluLab

Latest Release

latest release

Documentation

latest documentation

License

license

Build Status

CI

Coverage

coverage

Gitter

Join the chat at https://gitter.im/BlueBrain/BlueCelluLab

Citation

zenodo

The Blue Brain Cellular Laboratory is designed for simulations and experiments on individual cells or groups of cells. Suitable use cases for BlueCelluLab include:

  • Scripting and statistical analysis for single cells or cell pairs.

  • Lightweight, detailed reporting on specific state variables after simulation.

  • Developing synaptic plasticity rules.

  • Validating dynamics of synaptic properties.

  • Automating in-silico whole-cell patching experiments.

  • Debugging, both scientifically and computationally.

Citation

When you use this BlueCelluLab software for your research, we ask you to cite the following reference(this includes poster presentations):

@software{bluecellulab_zenodo,
  author       = {Van Geit, Werner and Tuncel, Anil and Gevaert, Mike and Torben-Nielsen, Benjamin and Muller, Eilif},
  title        = {BlueCelluLab},
  month        = jul,
  year         = 2023,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.8113483},
  url          = {https://doi.org/10.5281/zenodo.8113483}
}

Support

We are providing support on Gitter. We suggest you create tickets on the Github issue tracker in case you encounter problems while using the software or if you have some suggestions.

Main dependencies

Installation

BlueCelluLab can be pip installed with the following command:

pip install bluecellulab

Quick Start

The following example shows how to create a cell, add a stimulus and run a simulation:

from bluecellulab.cell import create_ball_stick
from bluecellulab import Simulation

cell = create_ball_stick()
sim = Simulation()
sim.add_cell(cell)
stimulus = cell.add_step(start_time=5.0, stop_time=20.0, level=0.5)

sim.run(25, cvode=False)
time, voltage = cell.get_time(), cell.get_soma_voltage()
# plotting time and voltage ...
Voltage plot

Tutorial

A more detailed explanation on how to use BlueCelluLab, as well as other examples can be found on the examples page.

API Documentation

The API documentation can be found on ReadTheDocs.

Running the tests

Testing is set up using tox:

pip install tox

tox -e py3  # runs the tests
tox -e lint  # runs the format checks

Funding & Acknowledgements

The development and maintenance of this code is 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.

Project details


Release history Release notifications | RSS feed

This version

2.3.5

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bluecellulab-2.3.5.tar.gz (15.9 MB view details)

Uploaded Source

Built Distribution

bluecellulab-2.3.5-py3-none-any.whl (117.2 kB view details)

Uploaded Python 3

File details

Details for the file bluecellulab-2.3.5.tar.gz.

File metadata

  • Download URL: bluecellulab-2.3.5.tar.gz
  • Upload date:
  • Size: 15.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for bluecellulab-2.3.5.tar.gz
Algorithm Hash digest
SHA256 7869e9f35ad05321c7df9e8f2330e9943a136ef86dea6a3aa1b2ac366b8f6ded
MD5 729d480844d50537d86af83983eceda4
BLAKE2b-256 396ab876cea7d8ea31bf19b1aaad635a548d810d6ce2f9ba8b841a9779047592

See more details on using hashes here.

File details

Details for the file bluecellulab-2.3.5-py3-none-any.whl.

File metadata

  • Download URL: bluecellulab-2.3.5-py3-none-any.whl
  • Upload date:
  • Size: 117.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for bluecellulab-2.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b6a4d49ef71d79eb78c2f71049499dc891880a6931e4df3f25dd3f8ed81bc079
MD5 1fa743a9e43b224364c60ef652e9c984
BLAKE2b-256 bac0fc0162515f428cd28a3a715b1187a3ede056d6f3d3f7eadb3497cf5b9243

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page