5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.NE2023★ 1 cited
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding
Xinyi Chen, Jibin Wu, Huajin Tang +2
The human brain exhibits remarkable abilities in integrating temporally distant sensory inputs for decision-making. However, existing brain-inspired spiking neural networks (SNNs)…
cs.NE2023
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
Shimin Zhang, Qu Yang, Chenxiang Ma +3
The identification of sensory cues associated with potential opportunities and dangers is frequently complicated by unrelated events that separate useful cues by long delays. As a…
cs.NE2023★ 5 cited
Long Short-term Memory with Two-Compartment Spiking Neuron
Shimin Zhang, Qu Yang, Chenxiang Ma +3
The identification of sensory cues associated with potential opportunities and dangers is frequently complicated by unrelated events that separate useful cues by long delays. As a…