[Comp-neuro] Brian 2.0 release
d.goodman at imperial.ac.uk
Wed Sep 21 12:50:53 CEST 2016
We are very pleased to announce the release of version 2.0 of the Brian
neural network simulator.
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. We believe that a simulator should not only save the time
of processors, but also the time of scientists. Brian is therefore
designed to be easy to learn and use, highly flexible and easily extensible.
You can learn more about Brian at our website
(http://briansimulator.org). You can also try out Brian from your web
browser, without having to install any software, using our interactive
Major new features in 2.0
* Much more flexible model definitions. The behaviour of all model
elements can now be defined by arbitrary equations specified in standard
* Code generation as standard. Behind the scenes, Brian automatically
generates and compiles C++ code to simulate your model, making it much
* "Standalone mode". In this mode, Brian generates a complete C++
project tree that implements your model. This can be then be compiled
and run entirely independently of Brian. This leads to both highly
efficient code, as well as making it much easier to run simulations on
non-standard computational hardware, for example on robotics platforms.
* Multicompartmental modelling.
* Python 2 and 3 support.
That's just a small fraction of the new features in 2.0. For the full
Upgrading from Brian 1.4
Brian 2 is a rewrite from scratch, and introduces some backwards
incompatible changes. In most cases, these should be relatively simple.
We've written a detailed guide on how to update your simulations:
that you can have both Brian 1 and Brian 2 installed simultaneously, so
you can switch gradually.
Brian 2 was written by Marcel Stimberg, Dan Goodman and Romain Brette.
Do please remember to cite Brian if you use it for your research.
We would also like to thank the large number of users (over 40) who
contributed code, bug reports, etc.
More information about the Comp-neuro