Backpropagation with Biologically Plausible Spatio-Temporal Adjustment
For Training Deep Spiking Neural Networks

Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks

17 October 2021

Yi Zeng

Papers citing "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks"

8 / 8 papers shown

Title
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 29 2 0 08 Jul 2024
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion Junhao Su Chenghao He Feiyu Zhu Xiaojie Xu Dongzhi Guan Chenyang Si 31 2 0 08 Jul 2024
Applications of Spiking Neural Networks in Visual Place Recognition S. Hussaini Michael Milford Tobias Fischer 57 6 0 22 Nov 2023
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network Yunhui Zhou Dongqi Han Yuguo Yu 3DH 23 0 0 10 Oct 2023
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection Biswadeep Chakraborty Xueyuan She Saibal Mukhopadhyay 35 50 0 21 Apr 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 121 470 0 08 Feb 2021
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 111 75 0 28 Apr 2018