Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference76 articles.
1. D. Neil, M. Pfeiffer, S.-C. Liu, Learning to be efficient: Algorithms for training low-latency, low-compute deep spiking neural networks, in: Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016, pp. 293–298.
2. Comparison between frame-constrained fix-pixel-value and frame-free spiking-dynamic-pixel ConvNets for visual processing;Farabet;Front. Neurosci.,2012
3. Real-time classification and sensor fusion with a spiking deep belief network;O’Connor;Front. Neurosci.,2013
4. An autonomous learning mobile robot using biological reward modulate STDP;Lu;Neurocomputing,2021
5. An accurate and fair evaluation methodology for SNN-based inferencing with full-stack hardware design space explorations;Lee;Neurocomputing,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献