Biblio

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Paun, G. (2007).  Spiking neural P systems. A tutorial. Bulletin of the European Association for Theoretial Computer Science. 91, 145-159. Abstract
Paun, G. (2007).  Spiking Neural P Systems. Power and Efficiency. Lecture Notes in Computer Science. 4527, 153-169. Abstract
Paun, G., Pérez-Jiménez M. J., & Salomaa A. (2007).  Spiking neural P systems: An early survey. International Journal of Foundations of Computer Science. 18(3), 435-455.
Pan, L., & Paun G. (2010).  Spiking Neural P Systems: An improved normal form. Theoretical Computer Science. 411(6), 906-918. Abstract
Paun, G., & Pérez-Jiménez M. J. (2008).  Spiking Neural P systems: An overview. (A. Porto, A. Pazos, W. Buno, Ed.).Advancing Artificial Intelligence through Biological Process Applications . 59-72. Abstract
Arazo-Sánchez, M., Barroso-Mancha M., De-la-Torre-Pérez Ó., Moreno-Valero L., Ribes-Metidieri A., Ribes-Metidieri P., et al. (2016).  Stern-Gerlach Experiment. Fourteenth Brainstorming Week on Membrane Computing (BWMC2016). 101-112.
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Paun, G., & Ciobanu G. (2005).  TAPS'05 Workshop on Theory and Applications of Systems. TAP'S 05 Workshop on Theory and Applications of Systems.
Paun, G., Rozenberg G., Maurer H., & Karhumaki J. (2004).  Theory is Forever. Lecture Notes in Computer Science. 3113, X+283.