2 papers
cs.NE2026
Controlling the latency in temporal coded spiking models for neuromorphic datasets
Alban Gattepaille, Alexandre Muzy
Spiking neural networks (SNNs) promise energy-efficient, event-driven computation on neuromorphic hardware, where response time, or latency, matters as much as energy for real-time…
cs.NE2025
Delay Neural Networks (DeNN) for exploiting temporal information in event-based datasets
Alban Gattepaille, Alexandre Muzy
In Deep Neural Networks (DNN) and Spiking Neural Networks (SNN), the information of a neuron is computed based on the sum of the amplitudes (weights) of the electrical potentials r…