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51. Q. Yu, H. Tang, K.C. Tan, H. Li, Precise-spike-driven synaptic plasticity: Learning heteroassociation of spatiotemporal spike patterns. PLoS ONE 8(11), 1–16 (2013). Nov
52. D. Bilecen, K. Scheffler, N. Schmid, K. Tschopp, J. Seelig, Tonotopic organization of the
human auditory cortex as detected by bold-FMRI. Hear. Res. 126(1), 19–27 (1998)
53. T. Hromádka, M.R. DeWeese, A.M. Zador, Sparse representation of sounds in the unanesthetized auditory cortex. PLoS Biol. 6(1), e16 (2008)
54. S. Haykin, Z. Chen, The cocktail party problem. Neural Comput. 17(9), 1875–1902 (2005)
55. M.C.W. Van Rossum, B.J. O’Brien, R.G. Smith, Effects of noise on the spike timing precision
of retinal ganglion cells. J. Neurophysiol. 89(5), 2406–2419 (2003)
56. E. Schneidman, Noise and information in neural codes, Ph.D. thesis, Hebrew University, (2001)
57. M.A. Zidan, A. Chen, G. Indiveri, W.D. Lu, Memristive computing devices and applications.
J. Electroceram. 39(1–4), 4–20 (2017)
58. Z. Pan, Y. Chua, J. Wu, H. Li, An event-based cochlear filter temporal encoding scheme for
speech signals, in 2018 International Joint Conference on Neural Networks (IJCNN), July
2018, pp. 1–8
59. G.W. Burr, P. Narayanan, R.M. Shelby, S. Sidler, I. Boybat, C. di Nolfo, Y. Leblebici, Largescale neural networks implemented with non-volatile memory as the synaptic weight element:
Comparative performance analysis (accuracy, speed, and power), in 2015 IEEE International
Electron Devices Meeting (IEDM), Dec 2015, p. 4.4
60. T. Rumbell, S.L. Denham, T. Wennekers, A spiking self-organizing map combining STDP,
oscillations, and continuous learning. IEEE Trans. Neural Networks Learn. Syst. 25(5), 894–
907 (2014)
61. H. Hazan, D. Saunders, D.T. Sanghavi, H. Siegelmann, R. Kozma, Unsupervised learning with
self-organizing spiking neural networks, in 2018 International Joint Conference on Neural
Networks (IJCNN), July 2018
62. T. Tuma, A. Pantazi, M. Le Gallo, A. Sebastian, E. Eleftheriou, Stochastic phase-change neurons. Nat. Nanotechnol. 11(8), 693 (2016)
63. W. Gerstner, W.M. Kistler, R. Naud, L. Paninski, Neuronal Dynamics: From Single Neurons
to Networks and Models of Cognition (Cambridge University Press, Cambridge, 2014)
64. T. Tuma, M. Le Gallo, A. Sebastian, E. Eleftheriou, Detecting correlations using phase-change
neurons and synapses. IEEE Electron Device Lett. 37(9), 1238–1241 (2016)
65. A. Pantazi, S. Wo´ zniak, T. Tuma, E. Eleftheriou, All-memristive neuromorphic computing with
level-tuned neurons. Nanotechnology 27(35), 355205 (2016)