2024
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
ICLR 2024poster
Spiking Neural Networks (SNNs) are a promising research direction for building power-efficient information processing systems, especially for temporal tasks such as speech recognition. In SNNs, delays refer to the time needed for one spike to travel from one neuron to another. These delays matter be…