STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks. (arXiv:2210.05241v1 [cs.NE])

Spiking Neural Networks (SNNs), as one of the algorithmic models in
neuromorphic computing, have gained a great deal of research attention owing to
temporal information processing capability, low power consumption, and high
biological plausibility. The potential to efficiently extract spatio-temporal
features makes it suitable for processing the event streams. However, existing
synaptic structures in SNNs are almost full-connections or spatial 2D
convolution, neither of which can extract temporal dependencies adequately. In
this work, we take inspiration from biological synapses and …

arxiv attention convolution networks neural networks snn spiking neural networks temporal