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      CuSNP: Spiking Neural P Systems Simulators in CUDA 

      Carandang, Jym Paul; Villaflores, John Matthew B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Romanian Academy, Section for Information Science and Technology, 2017)
      Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. CuSNP is a ...
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      GPU implementation of evolving spiking neural P systems 

      Gungon, Rogelio V.; Hernandez, Katreen Kyle M.; Cabarle, Francis George C.; Cruz, Ren Tristan de la; Adorna, Henry N.; Martínez del Amor, Miguel Ángel; Orellana Martín, David; Pérez Hurtado, Ignacio (ScienceDirect, 2022-09)
      Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have been previously developed with ...
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      Improving GPU Simulations of Spiking Neural P Systems 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel; Pérez Jiménez, Mario de Jesús (Romanian Academy, 2012)
      In this work we present further extensions and improvements of a Spiking Neural P system (for short, SNP systems) simulator ...
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      Notes on spiking neural P systems and finite automata 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús (Springer, 2016)
      Spiking neural P systems (in short, SN P systems) are membrane computing models inspired by the pulse coding of information ...
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      Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús (Springer, 2016)
      Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired ...
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      Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations 

      Martínez del Amor, Miguel Ángel; Orellana Martín, David; Pérez Hurtado de Mendoza, Ignacio; Cabarle, Francis George C.; Adorna, Henry N. (MDPI, 2021)
      To date, parallel simulation algorithms for spiking neural P (SNP) systems are based on a matrix representation. This ...
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      Spiking Neural P Systems with Structural Plasticity 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús; Song, Tao (Springer, 2015)
      Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by ...