3 papers
cs.CV2026
Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco
Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware can greatly reduce energy costs compared to GPU-based training. However, implementing Backpropagation (BP…
cs.CV2024
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco
Spike Timing-Dependent Plasticity (STDP) is a promising substitute to backpropagation for local training of Spiking Neural Networks (SNNs) on neuromorphic hardware. STDP allows SNN…
cs.CV2024
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks
Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco
Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware has the potential to significantly reduce the energy consumption of artificial neural network training. S…