E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

19 November 2021

Papers citing "E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs"

6 / 6 papers shown

Title
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA Dario Padovano Alessio Carpegna Alessandro Savino S. Di Carlo 42 1 0 04 Apr 2024
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs M. Aung Daniel Gerlinghoff Chuping Qu Liwei Yang Tian Huang Rick Siow Mong Goh Tao Luo Weng-Fai Wong 18 10 0 09 May 2023
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity Daniel Gerlinghoff Tao Luo Rick Siow Mong Goh Weng-Fai Wong 14 2 0 10 Nov 2022
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding Daniel Gerlinghoff Zhehui Wang Xiaozhe Gu Rick Siow Mong Goh Tao Luo 9 8 0 06 Jun 2022
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor Amar Shrestha Haowen Fang D. Rider Zaidao Mei Qinru Qiu 38 26 0 08 May 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 294 0 04 May 2020