Search Results - "Cruz, Ren Tristan De La"

Normal forms for spiking neural P systems and some of its variants by Macababayao, Ivan Cedric H., Cabarle, Francis George C., de la Cruz, Ren Tristan A., Zeng, Xiangxiang

“…•A new and optimal normal form for spiking neural P systems (SN P systems) is given.•Our normal form uses only 1 type of regular expression to achieve…”
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Steps toward a homogenization procedure for spiking neural P systems by de la Cruz, Ren Tristan A., Cabarle, Francis George C., Adorna, Henry N.

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On solutions and representations of spiking neural P systems with rules on synapses by Cabarle, Francis George C., de la Cruz, Ren Tristan A., Cailipan, Dionne Peter P., Zhang, Defu, Liu, Xiangrong, Zeng, Xiangxiang

“…Spiking neural P systems, or SN P systems, are parallel and nondeterministic computing models inspired by spike processing of neurons. A variant of SN P…”
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Generating context-free languages using spiking neural P systems with structural plasticity by de la Cruz, Ren Tristan A., Cabarle, Francis George, Adorna, Henry N.

“…Spiking neural P system (SNP system) is a model of computation inspired by networks of spiking neurons. An SNP system is a network of neurons that can send an…”
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Homogeneous spiking neural P systems with structural plasticity by de la Cruz, Ren Tristan A., Cabarle, Francis George C., Macababayao, Ivan Cedric H., Adorna, Henry N., Zeng, Xiangxiang

“…Spiking neural P system (SNP system) is a model of computation inspired by the mechanism of spiking neurons. An SNP system is a directed graph of neurons that…”
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GPU implementation of evolving spiking neural P systems by Gungon, Rogelio V., Hernandez, Katreen Kyle M., Cabarle, Francis George C., de la Cruz, Ren Tristan A., Adorna, Henry N., Martínez-del-Amor, Miguel Á., Orellana-Martín, David, Pérez-Hurtado, Ignacio

“…•A novel parallel framework for evolving spiking neural P systems.•GPU implementation of the genetic algorithm employed in the parallel framework.•Adapting…”
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Matrix representation and simulation algorithm of numerical spiking neural P systems by Ballesteros, Korsie J., Cailipan, Dionne Peter P., de la Cruz, Ren Tristan A., Cabarle, Francis George C., Adorna, Henry N.

“…Spiking neural P systems (SNP systems) are biologically inspired models of computation based on the firing behavior of neurons. Variations of these systems…”
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Matrix representation and simulation algorithm of spiking neural P systems with structural plasticity by Jimenez, Zechariah B., Cabarle, Francis George C., de la Cruz, Ren Tristan A., Buño, Kelvin C., Adorna, Henry N., Hernandez, Nestine Hope S., Zeng, Xiangxiang

“…In this paper, we create a matrix representation for spiking neural P systems with structural plasticity (SNPSP, for short), taking inspiration from existing…”
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A web-based visual simulator for spiking neural P systems by Dupaya, Annysia Glynis S., Galano, Anica Clarice Antonella P., Cabarle, Francis George C., De La Cruz, Ren Tristan, Ballesteros, Korsie J., Lazo, Prometheus Peter L.

“…Under the active area of membrane computing, Spiking Neural P systems (SN P systems) are models of computations which take inspirations from biological…”
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Universality of SN P systems with stochastic application of rules by Lazo, Prometheus Peter L., De La Cruz, Ren Tristan A., Macababayao, Ivan Cedric H., Cabarle, Francis George C.

“…Spiking neural P (SN P) systems are a class of P systems that incorporate the idea of spiking neurons. A variant called SN P systems with stochastic…”
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On String Languages Generated by Spiking Neural P Systems With Structural Plasticity by Cabarle, Francis George C., de la Cruz, Ren Tristan A., Zhang, Xingyi, Jiang, Min, Liu, Xiangrong, Zeng, Xiangxiang

“…Spiking neural P systems (SNP systems) are parallel and non-deterministic models of computation, inspired by the neural system of the brain. A variant of SNP…”
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optimizations in CuSNP Simulator for Spiking Neural P Systems on CUDA GPUs by Aboy, Blaine Corwyn D., Bariring, Edward James A., Carandang, Jym Paul, Cabarle, Francis George C., Cruz, Ren Tristan De La, Adorna, Henry N., Martinez-del-Amor, Miguel Angel

“…Spiking Neural P systems (in short, SNP systems) are computing models based on living neurons. SNP systems are non-deterministic and parallel, hence making use…”
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