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SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model
  for Long Sequences Learning

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning

7 October 2024
Yan Zhong
Ruoyu Zhao
Chao Wang
Qinghai Guo
Jianguo Zhang
Zhichao Lu
Luziwei Leng
ArXivPDFHTML

Papers citing "SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning"

1 / 1 papers shown
Title
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Enqi Zhang
MQ
51
0
0
24 Apr 2025
1