Towards Understanding the Effect of Leak in Spiking Neural Networks

15 June 2020

Papers citing "Towards Understanding the Effect of Leak in Spiking Neural Networks"

8 / 8 papers shown

Title
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks Huifeng Yin Hanle Zheng Jiayi Mao Siyuan Ding Xing Liu M. Xu Yifan Hu Jing Pei Lei Deng 50 1 0 28 Jan 2025
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 30 3 0 01 Mar 2024
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 34 3 0 20 Aug 2023
Fully neuromorphic vision and control for autonomous drone flight Federico Paredes-Valles J. Hagenaars Julien Dupeyroux S. Stroobants Ying Xu Guido de Croon 27 36 0 15 Mar 2023
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition Mohamed Sadek Bouanane D. Cherifi Elisabetta Chicca Lyes Khacef 29 13 0 14 Nov 2022
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage Alex Vicente-Sola D. L. Manna Paul Kirkland G. D. Caterina Trevor J. Bihl 21 8 0 29 Sep 2022
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 40 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