We are welcoming every kind of contribution. Here are a few ways to contribute to Brian.
Publish your code
The simplest way to contribute is to publish the code you used for your articles in a public database (for example, ModelDB). It increases the impact of your work and it is useful for the community. You can cite our introductory paper: Goodman DF and Brette R (2008) Brian: a simulator for spiking neural networks in Python. Front. Neuroinform. doi:10.3389/neuro.11.005.2008. We would be glad if you sent us an email when you publish Brian code, or mention us on Twitter.
Send bug reports
Help other users
If you are comfortable with Brian, you could help other users on the support mailing list. If you solved a non-trivial problem, such as installing Brian on an iPhone, you could also post a message explaining how you did it.
Contribute to external libraries
A great way to help us is to write or contribute to external libraries that either build on Brian or are useful for neural simulation.
At the moment, we are particularly interested in libraries that allow Brian to run on non-standard computing hardware such as GPU, FPGA, or on robotics platforms. Please get in touch if you would like to be involved.
Tell us what you would like to see in Brian
Help us prioritize the future features by telling us what is most important to you.