CADAD adds activity-dependent dynamic delays to SNNs, improving accuracy on speech datasets while cutting parameter count by about 50% versus prior static delay approaches.
Nicolas Perez-Nieves, Vincent C
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A dual memory pathway spiking network with near-memory hardware achieves long-sequence accuracy using 40-60% fewer parameters and delivers over 4X throughput plus 5X energy efficiency gains.
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Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks
CADAD adds activity-dependent dynamic delays to SNNs, improving accuracy on speech datasets while cutting parameter count by about 50% versus prior static delay approaches.
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Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
A dual memory pathway spiking network with near-memory hardware achieves long-sequence accuracy using 40-60% fewer parameters and delivers over 4X throughput plus 5X energy efficiency gains.