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systems by low-rate rate coding and coincidence processing-application to feedforward
ConvNets. IEEE Trans. Patt. Anal. Mach. Intell. 35(11), 2706–2719 (2013)
90. D. Zambrano, S.M. Bohte, Fast and efficient asynchronous neural computation with adapting
spiking neural networks. arXiv preprint arXiv:1609.02053 (2016)
91. B. Rueckauer, I.-A. Lungu, Y. Hu, M. Pfeiffer, Theory and tools for the conversion of analog
to spiking convolutional neural networks. arXiv preprint arXiv:1612.04052 (2016)
92. J. T. Springenberg, A. Dosovitskiy, T. Brox, M. Riedmiller, Striving for simplicity: the all
convolutional net. arXiv preprint arXiv:1412.6806 (2014)
93. G.-q. Bi, M.-m. Poo, Synaptic modifications in cultured hippocampal neurons: dependence
on spike timing, synaptic strength, and postsynaptic cell Type. J. Neurosci. 18(24), 10464
(1998)
94. L. I. Zhang, H. W. Tao, C. E. Holt, W. A. Harris, M.-m. Poo, A critical window for cooperation and competition among developing retinotectal synapses. Nature 395(6697), 37–44,
1998/09/01 (1998)
95. L. F. Abbott, S. B. Nelson, Synaptic plasticity: taming the beast. Nat. Neurosci. 3(11), 1178–
1183, 2000/11/01 (2000)
96. http://www.scholarpedia.org/article/Spike-timing_dependent_plasticity
97. J.-P. Pfister, W. Gerstner, Triplets of spikes in a model of spike timing-dependent plasticity.
J. Neurosci. 26(38), 9673 (2006)
98. J. M. Brader, W. Senn, S. Fusi, Learning real-world stimuli in a neural network with spikedriven synaptic dynamics. Neural Comput. 19(11 November 2007), 2881–2912. http://dx.doi.
org/10.1162/neco.2007.19.11.2881 (2007)
99. http://www.scholarpedia.org/article/BCM_theory
100. S. Fusi, M. Annunziato, D. Badoni, A. Salamon, D. J. Amit, Spike-driven synaptic plasticity:
theory, simulation, vlsi implementation. Neural Comput. 12(10), 2227–2258, 1 Oct. 2000
(2000)
101. S. Ramakrishnan, P. Hasler, C. Gordon, Floating gate synapses with spike time dependent
plasticity, in Proceedings of 2010 IEEE International Symposium on Circuits and Systems
(2010), pp. 369–372
102. R. Gopalakrishnan, A. Basu, Robust doublet STDP in a floating-gate synapse, in 2014
International Joint Conference on Neural Networks (IJCNN) (2014), pp. 4296–4301
103. R. Gopalakrishnan, A. Basu, On the non-STDP behavior and its remedy in a floating-gate
synapse. IEEE Trans. Neural Netw. Learn. Syst. 26(10), 2596–2601 (2015)
104. M. R. Azghadi, S. Al-Sarawi, D. Abbott, N. Iannella, A neuromorphic VLSI design for spike
timing and rate based synaptic plasticity. Neural Netw. 45, 70–82 (2013)
105. R. Gopalakrishnan, A. Basu, Triplet spike time-dependent plasticity in a floating-gate synapse.
IEEE Trans. Neural Netw. Learn. Syst. 28(4), 778–790 (2015)
106. R. Gopalakrishnan, A. Basu, Triplet spike time-dependent plasticity in a floating-gate synapse.
IEEE Trans. Neural Netw. Learn. Syst. 28(4), 778–790 (2017)