A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data

4 April 2024

Papers citing "A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data"

5 / 5 papers shown

Title
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems Iqra Bano Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 34 1 0 07 Jul 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 29 6 0 14 Apr 2024
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack Rachmad Vidya Wicaksana Putra Alberto Marchisio F. Zayer Jorge Dias Muhammad Shafique 25 10 0 04 Apr 2024
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 35 12 0 03 Mar 2023
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 24 16 0 24 May 2022