T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

26 March 2020

Seijoon Kim

Papers citing "T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding"

15 / 15 papers shown

Title
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks Gaspard Goupy Pierre Tirilly Ioan Marius Bilasco 42 3 0 04 Aug 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 41 3 0 10 Jul 2023
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks Xinyi Chen Qu Yang Jibin Wu Haizhou Li Kay Chen Tan 22 16 0 26 May 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 32 11 0 08 Apr 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks Rachmad Vidya Wicaksana Putra Muhammad Shafique 40 6 0 24 Dec 2022
An Exact Mapping From ReLU Networks to Spiking Neural Networks A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 36 22 0 23 Dec 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Xing-Hua Yao Fanrong Li Zitao Mo Jianguo Cheng 24 82 0 25 Oct 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 93 10 0 23 Oct 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 26 88 0 23 Jan 2022
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 21 40 0 01 Oct 2021
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 26 36 0 23 Aug 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 48 27 0 26 Jul 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks Sayeed Shafayet Chowdhury Isha Garg Kaushik Roy 21 38 0 26 Apr 2021
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 30 171 0 05 Oct 2020