The Implementation of Logic Gates Using Only Memristor Based Neuristor

Kamil Orman, Yunus Babacan

Abstract


Memristor based neuron circuit can be found in literature to implement more effective circuits thanks to linearity, high density and low energy consumption properties. This paper presents two logic gates based on memristor based neuron. The neuron circuit has floating characteristics so it can be used as a circuit element. The electronic neuron, neuristor, produce spikes when applied DC current so designed logic gates produce spikes when applied appropriate inputs. All simulations are obtained successfully and implemented in SPICE environment with TSMC 0.18 μm CMOS process parameters.

Keywords


AND gate; OR gate; Neuron; Memristor; Neuristor

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References


Hodgkin, A. & Huxley, A., (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiology: 500 -544. http://dx.doi.org/10.1113/jphysiol.1952.sp004764

FitzHugh, R., (1966). Mathematical models for excitation and propagation in nerve. Biological Engineering. H.P. Schawn (Ed.), New York: McGraw –Hill,

Hindmarsh, J. L. & Rose, R. M., (1984). A model of neuronal bursting using three coupled first order differential equations. Proceedings of the Royal society of London. Series B. Biologi-cal science: 87-102. https://doi.org/10.1098/rspb.1984.0024

Gerstner, W. & Kistler, W. M., (2002). Spiking neuron models: Single neurons, populations, plasticity. Cambridge university press, http://dx.doi.org/10.1017/CBO9780511815706

Izhikevich, E. M., (2004). Which model to use for cortical spiking neurons ?. IEEE Transactions on neural networks: 1063-1070. http://dx.doi.org/10.1109/TNN.2004.832719

Chua, L.O., (1971). Memristor - the missing circuit element. IEEE Trans. Circuit Theory; 18: 507-519. http://dx.doi.org/10.1109/TCT.1971.1083337

Chua, L.O. & Kang, S.M., (1976). Memristive Devices And Sys-tems. Proceedings of the IEEE; 209-223. http://dx.doi.org/10.1109/PROC.1976.10092

Strukov, D. B., Snider, G. S., Stewart, D. R. & Williams, R. S., (2008). The missing memristor found. Nature; 453(7191), 80–83. http://dx.doi.org/10.1038/nature06932

Kim H., Sah M.P., Yang C., Cho S. & Chua L.O., (2012). Memristor emulator for memristor circuit applications. IEEE Trans. Circuits Syst. I Regul. Papers; 59(10): 2422–2431. https://doi.org/10.1109/TCSI.2012.2188957

Elwakil, A. S., Fouda, M. E. & Radwan, A. G., (2013). A Simple Model of Double-Loop Hysteresis Behavior in Memristive Ele-ments. IEEE Trans. Circuits Syst. II Express Briefs; 60(8): 487–491. https://doi.org/10.1109/TCSII.2013.2268376

Sanchez-Lopez, C., Mendoza-Lopez, J., Carrasco-Aguilar, M. A. & Muniz-Montero, C., (2014). A floating analog memristor emulator circuit. IEEE Trans. Circuits Syst. II Express Briefs; vol. 61(5): 309–313. https://doi.org/10.1109/TCSII.2014.2312806

Sánchez-López, C., Carrasco-Aguilar, M.A. & Muñiz-Montero, C., (2015). A 16 Hz-160 kHz memristor emulator circuit. AEU - Int. J. Electron. Commun.; 69(9): 1208–1219. https://doi.org/10.1016/j.aeue.2015.05.003

Babacan, Y., Kaçar, F. & Gürkan, K., (2016). A spiking and burst-ing neuron circuit based on memristor. Neurocomputing;203: 86–91. http://doi.org/10.1016/j.neucom.2016.03.060

Babacan, Y. & Kacar, F., (2017). Floating memristor emulator with subthreshold region. Analog Integrated Circuits and Sig-nal Processing; 90(2): 471–475. http://doi.org/10.1007/s10470-016-0888-9

Pickett, M. D., Medeiros-Ribeiro, G. & Williams, R. S., (2012). A scalable neuristor built with Mott memristors. Nature Materials; 12: 114–117. http://dx.doi.org/10.1038/nmat3510

Shin, S., Sacchetto, D., Leblebici, Y., & Kang, S. M. S., (2012). Neuronal spike event generation by memristors. In 2012 13th international workshop on cellular nanoscale networks and their applications (pp. 1-4). IEEE. http://dx.doi.org/10.1109/CNNA.2012.6331427

Ren, G., Xu Y. & Wang C., (2017). Synchronization behavior of coupled neuron circuits composed of memristors. Nonlinear Dynamics, 88(2): 893-901. https://doi.org/10.1007/s11071-016-3283-2

Zhang, J., & Liao, X., (2017). Synchronization and chaos in cou-pled memristor-based FitzHugh-Nagumo circuits with memris-tor synapse. AEU-International Journal of Electronics and Communications, 75: 82-90. https://doi.org/10.1016/j.aeue.2017.03.003

Feali, M.S., Ahmad, A. & Hayati, M., (2018). Implementation of adaptive neuron based on memristor and memcapacitor emulators. Neurocomputing: 1-11.

http://dx.doi.org/10.1016/j.neucom.2018.05.006

Babacan Y., (2018). Fully Floating Memristor Based Neuron Circuit Implementation, International Academic Research Congress (INES 2018), 886-890.




DOI: https://doi.org/10.33180/InfMIDEM2021.203

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