An error-tolerant serial binary full-adder via a spiking neural P system using HP/LP basic neurons

Otgonnaran Ochirbat1, Tseren-Onolt Ishdorj2, Gordon Cichon2
1Department of Information and Computer Sciences, School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar, Mongolia
2Department of Computer Science School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia

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Chen, H., Ionescu, M., & Ishdorj, T.O. (Jun 2006) On the Efficiency of Spiking Neural P Systems. In: Proceedings of 8th International Conference on Electronics, Information, and Communication (ICEIC 2006), Ulaanbaatar, Mongolia (pp. 49–52).

Haiming, C., Ishdorj, T. O., & Păun, G. (2007). Computing along the axon. Progress in Natural Science, 17(4), 417–423. https://doi.org/10.1080/10020070708541018.

Ionescu, M., Păun, A., Păun, G., & Pérez-Jiménez, M.J. (2006). Computing with spiking neural p systems: Traces and small universal systems. In: C. Mao & T. Yokomori (Eds.), DNA Computing. DNA 2006. Lecture Notes in Computer Science. Berlin: Springer (vol. 4287, no. 16, pp. 1–16). https://doi.org/10.1007/11925903_1

Ionescu, M., Păun, G., & Yokomori, T. (2006). Spiking neural P systems. Fundamenta Informaticae, 71(2), 279–308.

Ishdorj, T. O., & Leporati, A. (2008). Uniform solutions to SAT and 3-SAT by spiking neural P systems with pre-computed resources. Natural Computing, 7(4), 519–534. https://doi.org/10.1007/s11047-008-9081-0.

Ishdorj, T. O., Leporati, A., Pan, L., & Zeng, X. (2010). Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources. Theoretical Computer Science, 411(25), 2345–2358. https://doi.org/10.1016/j.tcs.2010.01.019.

Ishdorj, T.O., Ochirbat, O., & Naimannaran, C. (2019). A $$\mu$$-fluidic biochip design for spiking neural P systems. International Journal of Unconventional Computation (accepted).

Krambeck, R. H., Lee, C. M., & Law, H. S. (1982). High-speed compact circuits with CMOS. IEEE Journal of Solid-State Circuits, 17(3), 614–619. https://doi.org/10.1109/JSSC.1982.1051786.

Ledesma, L., Manrique, D., & Rodríguez-Patón, A. (2005). A tissue P system and a DNA microfluidic device for solving the shortest common superstring problem. Soft Computing, 9(9), 679–685. https://doi.org/10.1007/s00500-004-0398-z.

Paun, G., Rozenberg, G., & Salomaa, A. (2010). The oxford handbook of membrane computing. Oxford: Oxford University Press Inc.

Weste, N. H. E., & Eshraghian, K. (1985). Principles of CMOS VLSI design: A systems perspective. Boston: Addison-Wesley Longman Publishing Co. Inc.

Xu, Z., Cavaliere, M., An, P., Vrudhula, S., & Cao, Y. (2014). The stochastic loss of spikes in spiking neural P systems: Design and implementation of reliable arithmetic circuits. Fundamenta Informaticae, 134(1–2), 183–200. https://doi.org/10.3233/FI-2014-1098.