BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and
Balanced Excitatory-Inhibitory Neurons

BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons

27 May 2021

Yi Zeng

Papers citing "BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons"

8 / 8 papers shown

Title
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture Shang Wang Huanrong Tang Jianquan Ouyang 48 0 0 02 May 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks Yongjun Xiao Xianlong Tian Yongqi Ding Pei He Mengmeng Jing Lin Zuo MQ 27 1 0 08 Jul 2024
Curriculum Design Helps Spiking Neural Networks to Classify Time Series Chenxi Sun Hongyan Li Moxian Song Derun Can linda Qiao 29 0 0 26 Dec 2023
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation Yi Zeng Dongcheng Zhao Feifei Zhao Guobin Shen Yiting Dong ... Xin Liu Chen-Yu Du Qingqun Kong Zizhe Ruan Weida Bi 34 68 0 18 Jul 2022
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 31 54 0 17 Oct 2021
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 116 75 0 28 Apr 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 119 481 0 26 Mar 2018