Posts about publication

Brian2GeNN paper published: accelerate Brian simulations with GPUs

Our paper on brian2genn was published today. It automatically translates Brian models into a format that can be read by the GPU-enhanced neural network simulator (GeNN) to allow it to run on GPU. Some simulations were 400x faster on GPU compared to a single CPU.

Stimberg M, Goodman DFM, Nowotny T (2020)
Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware
Scientific Reports 10, 410. doi: 10.1038/s41598-019-54957-7

Paper on Brian 2 published in eLife

We are happy to report that our paper “Brian 2, an intuitive and efficient neural simulator” has been accepted for publication in eLife:

In this paper, we describe a number of examples that showcase various features of Brian 2, ranging from non-standard neuronal/synaptic models to interacting with hardware in real time via C++ code. All the code to run these examples is openly available in a github repository.
The examples are provided as interactive jupyter notebooks, and can be tried out without a local installation of Brian by running them on the binder infrastructure.