ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.02015
  4. Cited By
Energy-Efficient High-Accuracy Spiking Neural Network Inference Using
  Time-Domain Neurons
v1v2 (latest)

Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons

International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2022
4 February 2022
Joonghyun Song
Jiwon Shin
Hanseok Kim
Woo-Seok Choi
ArXiv (abs)PDFHTMLGithub

Papers citing "Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons"

2 / 2 papers shown
Lightweight LIF-only SNN accelerator using differential time encoding
Lightweight LIF-only SNN accelerator using differential time encoding
Daniel Windhager
Lothar Ratschbacher
Bernhard A. Moser
Michael Lunglmayr
280
0
0
16 May 2025
Towards Chip-in-the-loop Spiking Neural Network Training via
  Metropolis-Hastings Sampling
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
Ali Safa
Vikrant Jaltare
Samira Sebt
Kameron Gano
Johannes Leugering
Georges G. E. Gielen
Gert Cauwenberghs
218
2
0
09 Feb 2024
1
Page 1 of 1