articleInternational Journal of Computer VisionNov 23, 2014Closed access

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

HRL Laboratories (United States)

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

917
total citations
FWCI
18.10
Percentile
100%
References
39
Citations per year

Authors

3

Topics & keywords

Keywords
  • Spiking neural network
  • Neuromorphic engineering
  • Computer science
  • Convolutional neural network
  • Spike (software development)
  • Artificial intelligence
  • Deep learning
  • Cognitive neuroscience of visual object recognition
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding