BRIAN Simulator Working Group
- Marcel Stimberg, Sorbonne Université
- Dan Goodman, Imperial College London
BRIAN is a free, open source simulator for spiking neural networks. It is written in the Python programming language and is available on almost all platforms. BRIAN is designed to be easy to learn and use, highly flexible, and easily extensible. Learn more at: https://briansimulator.org/.
This Working Group is sponsored by the Google Summer of Code (GSoC) program, a global program focused on bringing more student developers into open source software development by pairing them to work with an open source organization on a programming project during their break from school. Membership to this working group is not limited to participants in the GSoC program. All interested parties are encouraged to participate.
Achilleas Koutsou, GSoC student, 2013
Snigdha Dagar, GSoC student, 2015
Dominik Krzemiński, GSoC student, 2016
Charlee Fletterman, GSoC student, 2017
Kapil Kumar, GSoC student, 2018
Alexandra Teska, GSoc student, 2019
Vigneswaran Chandrasekaran, GSoC student, 2020
Improve and extend the cross-platform simulator BRIAN. Current projects include: support for simulation based inference, making BRIAN run in browsers, updating BRIAN documentation infrastructure, and improving the OpenMP support for synaptic propagation simulation. Learn more about the BRIAN Simulator Working Group's 2021 projects.
- Supporting simulation based inference (expected 2021)
- Make BRIAN run in browsers (expected 2021)
- Update BRIAN documentation infrastructure(expected 2021)
- Improve the OpenMP support for synaptic propagation simulation (expected 2021)
- BrianDROID - Neural simulation on mobile devices
- Brian2's interoperability with simulator independent model descriptions
- Importing and exporting simulator-independent model-descriptions with the Brian simulator
- Implementing support for numerical integration with GSL in the Brian simulator
- Importing NeuroML morphologies into Brian
- Model fitting library for Brian 2
- Improved Model Description Functionality In Brian