Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges. Azghadi, M. R., Iannella, N., Al-Sarawi, S., Indiveri, G., & Abbott, D. Proceedings of the IEEE, 102(5):717--737, May, 2014. Paper doi bibtex @article{ Azghadi_etal14,
author = {M. Rahimi Azghadi and N. Iannella and S. Al-Sarawi
and G. Indiveri and D. Abbott},
journal = {Proceedings of the IEEE},
title = {Spike-Based Synaptic Plasticity in Silicon: Design,
Implementation, Application, and Challenges},
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},
doi = {10.1109/JPROC.2014.2314454},
issn = {0018-9219},
url = {http://ncs.ethz.ch/pubs/pdf/Azghadi_etal14.pdf}
}
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