FSNAP: an Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning
Symposium on VLSI Technology(2024)
Key words
Spiking Neural Networks,Adaptive Tuning,Energy Efficiency,Energy Consumption,Adaptive Technique,Short Time Window,Spike Trains,Flexible Applications,Time Window Size,Unified Architecture
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