Search Results - "Cabarle, Francis George C"

Refine Results
  1. 1

    Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay by Cabarle, Francis George C., Adorna, Henry N., Xu, Fei, Bibi, Alia

    Published in Complexity (New York, N.Y.) (01-01-2019)
    “…Spiking neural P systems with scheduled synapses are a class of distributed and parallel computational models motivated by the structural dynamism of…”
    Get full text
    Journal Article
  2. 2

    Notes on spiking neural P systems and finite automata by Cabarle, Francis George C., Adorna, Henry N., Pérez-Jiménez, Mario J.

    Published in Natural computing (01-12-2016)
    “…Spiking neural P systems (in short, SN P systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SN P systems…”
    Get full text
    Journal Article
  3. 3

    Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units by Hernández-Tello, Javier, Martínez-Del-Amor, Miguel Á, Orellana-Martín, David, Cabarle, Francis George C

    Published in International journal of neural systems (01-07-2024)
    “…The parallel simulation of Spiking Neural P systems is mainly based on a matrix representation, where the graph inherent to the neural model is encoded in an…”
    Get more information
    Journal Article
  4. 4

    GPU simulations of spiking neural P systems on modern web browsers by Valdez, Arian Allenson M., Wee, Filbert, Odasco, Ayla Nikki Lorreen, Rey, Matthew Lemuel M., Cabarle, Francis George C.

    Published in Natural computing (01-03-2023)
    “…In this work we present a novel and proof of concept Spiking Neural P system (for short, SN P systems) simulator that runs on modern web browsers whilst using…”
    Get full text
    Journal Article
  5. 5

    Thinking about spiking neural P systems: some theories, tools, and research topics by Cabarle, Francis George C.

    Published in Journal of membrane computing (29-04-2024)
    “…The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous systems, and software tools for easy…”
    Get full text
    Journal Article
  6. 6

    Attention to COVID-19: Abstractive Summarization of COVID-19 Research with State-of-the-Art Transformers by Estrella, Jan Apolline D., Quinzon, Christian S., Cabarle, Francis George C., Clemente, Jhoirene B.

    “…The COVID-19 pandemic has led to an over-whelming volume of scientific publications as researchers strive to address the crisis. To alleviate information…”
    Get full text
    Conference Proceeding
  7. 7

    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

    Published in Information sciences (01-05-2022)
    “…•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…”
    Get full text
    Journal Article
  8. 8
  9. 9

    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

    Published in Information sciences (01-10-2019)
    “…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…”
    Get full text
    Journal Article
  10. 10

    Spiking neural P systems with structural plasticity by Cabarle, Francis George C., Adorna, Henry N., Pérez-Jiménez, Mario J., Song, Tao

    Published in Neural computing & applications (01-11-2015)
    “…Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by the spiking of biological neurons. In…”
    Get full text
    Journal Article
  11. 11

    Neural-like P systems with plasmids by Cabarle, Francis George C., Zeng, Xiangxiang, Murphy, Niall, Song, Tao, Rodríguez-Patón, Alfonso, Liu, Xiangrong

    Published in Information and computation (01-12-2021)
    “…Two types of cells for bio-inspired computations are neurons and bacteria: the former have “simple” neurons that connect together to become more useful, i.e…”
    Get full text
    Journal Article
  12. 12

    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…”
    Get full text
    Conference Proceeding
  13. 13

    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

    Published in Journal of membrane computing (01-03-2021)
    “…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…”
    Get full text
    Journal Article
  14. 14

    Improving GPU web simulations of spiking neural P systems by Odasco, Ayla Nikki L., Rey, Matthew Lemuel M., Cabarle, Francis George C.

    Published in Journal of membrane computing (01-12-2023)
    “…The utilization of a parallel processor such as the graphics processing unit (GPU) is only natural for the simulation of spiking neural P systems (SN P…”
    Get full text
    Journal Article
  15. 15

    Sequential spiking neural P systems with structural plasticity based on max/min spike number by Cabarle, Francis George C., Adorna, Henry N., Pérez-Jiménez, Mario J.

    Published in Neural computing & applications (01-07-2016)
    “…Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired by biological spiking neurons…”
    Get full text
    Journal Article
  16. 16

    A return to stochasticity and probability in spiking neural P systems by Lazo, Prometheus Peter L., Cabarle, Francis George C., Adorna, Henry N., Yap, Jan Michael C.

    Published in Journal of membrane computing (01-06-2021)
    “…This work continues the investigations of introducing probabilities to spiking neural P systems, SN P systems in short—membrane computing models inspired from…”
    Get full text
    Journal Article
  17. 17

    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

    Published in Neurocomputing (Amsterdam) (07-09-2022)
    “…•A novel parallel framework for evolving spiking neural P systems.•GPU implementation of the genetic algorithm employed in the parallel framework.•Adapting…”
    Get full text
    Journal Article
  18. 18

    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.

    Published in Journal of membrane computing (28-03-2022)
    “…Spiking neural P systems (SNP systems) are biologically inspired models of computation based on the firing behavior of neurons. Variations of these systems…”
    Get full text
    Journal Article
  19. 19

    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

    Published in Journal of membrane computing (01-09-2019)
    “…In this paper, we create a matrix representation for spiking neural P systems with structural plasticity (SNPSP, for short), taking inspiration from existing…”
    Get full text
    Journal Article
  20. 20

    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.

    Published in Journal of membrane computing (01-03-2022)
    “…Under the active area of membrane computing, Spiking Neural P systems (SN P systems) are models of computations which take inspirations from biological…”
    Get full text
    Journal Article