articleTop 1% cited
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
International Journal of Computer Vision · 2014 · Vol. 113(1) · pp. 54–66
Yongqiang Cao✉(HRL Laboratories (United States))Yang Chen(HRL Laboratories (United States))Deepak Khosla(HRL Laboratories (United States))
Advanced Memory and Neural ComputingNeural dynamics and brain functionFerroelectric and Negative Capacitance DevicesSpiking neural networkNeuromorphic engineeringComputer scienceConvolutional neural networkSpike (software development)Artificial intelligenceDeep learningCognitive neuroscience of visual object recognitionPattern recognition (psychology)Computer architecture
Funding
- U.S. Department of Defense
- Defense Advanced Research Projects Agency
Citations
906
FWCI
17.87
field-weighted impact
References
39
Percentile
99%
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Citations per year
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Backpropagation Applied to Handwritten Zip Code Recognition
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