bluecellulab 1.2.9

The Pythonic Blue Brain simulator access

BlueCelluLab

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Citation

BlueCelluLab is designed to do simulation and experiment on a single cell or a group of cells. Use cases for which bluecellulab is well suited include: scripting and statistics across single or pairs of cells, light-weight detailed reporting on a few state variables post-simulation, development of synaptic plasticity rules, dynamics validations of e.g. synaptic properties, automation of 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 publication (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

• Python 3.8+

• Neuron 8.0.2+

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()
stimulus = cell.add_step(start_time=15.0, stop_time=20.0, level=0.1)
sim = Simulation()
sim.add_cell(cell)

sim.run(200, cvode=False)
time, voltage = cell.get_time(), cell.get_soma_voltage()
# plotting time and voltage ...

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.

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.

Copyright

Copyright (c) 2023 Blue Brain Project/EPFL

This work is licensed under Apache 2.0

For MOD files for which the original source is available on ModelDB, any specific licenses on mentioned on ModelDB, or the generic License of ModelDB apply.

The licenses of the morphology files used in this repository are available on: https://zenodo.org/record/5909613