On some classes of sequential spiking neural p systems

Neural Computation

Volumn 26, Issue 5, 2014, Pages 974-997

  Zhang, Xingyi ^a   Zeng, Xiangxiang ^b   Luo, Bin ^a   Pan, Linqiang ^c  

^a ANHUI UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTIFICIAL NEURAL NETWORK; NERVE CELL; PHYSIOLOGY;

ACTION POTENTIALS; ALGORITHMS; NEURAL NETWORKS (COMPUTER); NEURONS;

EID: 84897972781     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00580     Document Type: Letter

References (22)

1. Cavaliere, M., Ibarra, O. H., Pǎun, G., Egecioglu, O., Ionescu, M., & Woodworth, S. (2009). Asynchronous spiking neural P systems. Theoretical Computer Science, 410, 2352-2364.
2. Chen, H., Freund, R., Ionescu, M., Pǎun, G., & Pérez-Jiménez,M. J. (2007). On string languages generated by spiking neural P systems. Fundamenta Informaticae, 75, 141-162.
3. Chen, H., Ionescu, M., Ishdorj, T.-O., Pǎun, A., Pǎun, G., & Pérez-Jiménez, M. J. (2008). Spiking neural P systemswith extended rules:Universality and languages. Natural Computing, 7, 147-166.
4. Freund, R. (2005). Asynchronous P systems and P systems working in the sequential mode. In G. Mauri, G. Pǎun, M. J. Pérez-Jiménez, G. Rozenberg, & A. Salomaa (Eds.), Membrane computing (pp 36-62). New York: Springer-Verlag.
5. Ibarra,O.H., Pǎun, A.,&Rodríguez-Patón, A. (2009). Sequential SN P systems based on min/max spike number. Theoretical Computer Science, 410, 2982-2991.
6. Ibarra, O. H., Woodworth, S., Yu, F., & Pǎun, A. (2006). On spiking neural P systems and partially blind counter machines. In Proceedings of the 5th International Conference on Unconventional Computation (pp. 113-129). Berlin: Springer-Verlag.
7. Ionescu, M., Pǎun, G., & Yokomori, T. (2006). Spiking neural P systems. Fundamenta Informaticae, 71, 279-308.
8. Ionescu, M., Pǎun, G., & Yokomori, T. (2007). Spiking neural P systems with an exhaustive use of rules. International Journal of Unconventional Computing, 3, 135- 154.
9. Ishdorj, T.-O., Leporati, A., Pan, L., Zeng, X., & Zhang, X. (2010). Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources. Theoretical Computer Science, 411, 2345-2358.
10. Minsky, M. (1967). Computation: Finite and infinite machines. Upper Saddle River, NJ: Prentice Hall.
11. Pan, L., Wang, J., & Hoogeboom, H. J. (2012). Spiking neural P systems with astrocytes. Neural Computation, 24, 805-825.
12. Pan, L., Zeng, X., & Zhang, X. (2011). Time-free spiking neural P systems. Neural Computation, 23, 1320-1342.
13. Pǎun, A., & Pǎun, G. (2007). Small universal spiking neural P systems. BioSystems, 90, 48-60.
14. Pǎun, G. (2000).Computing with membranes. Journal of Computer and System Sciences, 61, 108-143.
15. Pǎun, G. (2002). Membrane computing: An introduction. Berlin: Springer-Verlag.
16. Pǎun, G., & Pérez-Jiménez, M. J. (2009). Spiking neural P systems: Recent results, research topics. Algorithmic Bioprocesses, 5, 273-291.
17. Pǎun, G.,Rozenberg,G.,&Salomaa, A. (Eds.). (2010). TheOxford handbook of membrane computing. New York: Oxford University Press.
18. Rozenberg, G., & Salomaa, A. (Eds.). (1997). Handbook of formal languages. Berlin: Springer-Verlag.
19. Wang, J., Hoogeboom, H. J., Pan, L., Pǎun, G., & Pérez-Jiménez, M. J. (2010). Spiking neural P systems with weights. Neural Computation, 22, 2615-2646.
20. Xu, L., & Jeavons, P. (2013). Simple neural-like P systems for maximal independent set selection. Neural Computation, 25, 1642-1659.
21. Zhang, X., Luo, B., Fang, X., & Pan, L. (2012). Sequential spiking neural P systems with exhaustive use of rules. BioSystems, 108, 52-62.
22. Zhang, X., Zeng, X., & Pan, L. (2008). On string languages generated by spiking neural P systems with exhaustive use of rules. Natural Computing, 7, 535-549.