Benoît Miramond

Beyond binary SNNs: a hardware-algorithm co-design and architectural evaluation for graded spike networks

While Spiking Neural Networks offer a promising path toward energy-efficient edge intelligence, conventional Binary representations often suffer from high inference latency and discretization errors. Multi-level (graded) spike models address these limitations by increasing information density per pulse, yet they typi...