BrainScaleS 2

BrainScaleS 2 is a neuromorphic computing system designed to emulate large-scale spiking neural networks (SNNs) in real-time, accelerating research into brain-inspired computation. Current research focuses on improving learning algorithms for SNNs, particularly developing efficient event-based backpropagation methods and exploring the impact of incorporating synaptic delays into network models, often leveraging the system's analog hardware capabilities for faster and more energy-efficient training. This platform facilitates investigations into SNN dynamics and learning, offering valuable insights into biological neural computation and potentially paving the way for more energy-efficient artificial intelligence.