Rate Coding or Direct Coding: Which One is Better for Accurate, Robust,
and Energy-efficient Spiking Neural Networks?

Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?

31 January 2022

Youngeun Kim

Hyoungseob Park

Abhishek Moitra

Abhiroop Bhattacharjee

Yeshwanth Venkatesha

Priyadarshini Panda

Papers citing "Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?"

4 / 4 papers shown

Title
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks Abhishek Moitra Abhiroop Bhattacharjee Runcong Kuang Gokul Krishnan Yu Cao Priyadarshini Panda 8 20 0 24 Oct 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 18 13 0 12 Apr 2022
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 119 292 0 04 May 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 106 85 0 23 Mar 2020