Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges (bibtex)
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Reference:
Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges (M. Rahimi Azghadi, N. Iannella, S. Al-Sarawi, G. Indiveri, D. Abbott), In Proceedings of the IEEE, volume 102, 2014.
Bibtex Entry:
@Article{Azghadi_etal14,
author		= {M. Rahimi Azghadi and N. Iannella and S. Al-Sarawi and G.
		  Indiveri and D. Abbott},
title		= {Spike-Based Synaptic Plasticity in Silicon: Design,
		  Implementation, Application, and Challenges},
journal		= {Proceedings of the {IEEE}},
year		= {2014},
month		= {May},
volume		= {102},
number		= {5},
pages		= {717--737},
keywords	= {Learning systems;Logic gates; Neuromorphics; Neurons;
		  Neuroscience; Plastics; Silicon; Transistors;
		  Analog/digital synapse; Bienenstock-Cooper-Munro
		  (BCM);Bienenstock-Cooper-Munro (BCM); calcium-based
		  plasticity; learning; local correlation plasticity (LCP);
		  neuromorphic engineering; rate-based plasticity;
		  spike-based plasticity; spike-timing-dependent plasticity
		  (STDP); spiking neural networks; synaptic plasticity;
		  triplet STDP; very large-scale integration (VLSI);
		  voltage-based STDP},
issn		= {0018-9219},
doi		= {10.1109/JPROC.2014.2314454},
url		= {http://ncs.ethz.ch/pubs/pdf/Azghadi_etal14.pdf}
}
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