Brian2GeNN

Brian2GeNN accelerates spiking neural network simulations by translating Brian models into C++ code for compilation with the GeNN meta-compiler and execution on NVIDIA GPUs.

Key Features:

• Integration: Connects the Python-based Brian simulator with the C++ GeNN meta-compiler to enable model translation and execution.
• Code Generation Pipeline: Automatically translates Brian scripts into C++ code compatible with GeNN.
• GPU Acceleration and Performance: Executes generated GeNN code on NVIDIA GPUs, yielding reported speedups of tens to hundreds of times compared to CPUs.

Scientific Applications:

• Computational neuroscience: Accelerated simulation of spiking neural networks to support studies of neural dynamics and brain function.

Methodology:

Automatically generate C++ code from Brian models, compile via the GeNN meta-compiler, and execute the compiled code on NVIDIA GPUs.