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2024
Xian, R., Xiong X., Peng H., Wang J., Ramírez-de-Arellano-Marrero A., & Yang Q. (2024).  Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognition. 147, 110112. Abstract
2023
Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2023).  Generating, computing and recognizing with virus machines. Theoretical Computer Science. 972, 114077.
Orellana-Martín, D., Ramírez-de-Arellano A., Andreu-Guzmán J. A., Romero-Jiménez Á., & Pérez-Jiménez M. J. (2023).  A Protocol for Solutions to DP-Complete Problems through Tissue Membrane Systems. Mathematics. 11, 2797. Abstract
Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2023).  Using Virus Machines to Compute Pairing Functions. International Journal of Neural Systems. 33, 2350023. Abstract
Bai, X., Huang Y., Peng H., Wang J., Yang Q., Orellana-Martín D., et al. (2023).  Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. Information Sciences. 119916. Abstract
2022
Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2022).  Basic Arithmetic Calculations Through Virus-Based Machines. (Ferrández Vicente, José Manuel, Álvarez-Sánchez, José Ramón, de la Paz López, Félix, Adeli, Hojjat, Ed.).Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. 403–412. Abstract
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. Á., Valencia-Cabrera L., & Riscos-Núñez A. (2022).  A new P-Lingua toolkit for agile development in membrane computing. Information Sciences. 587, 1-22.
2021
García-Quismondo, M., Hintz W. D., Schuler M. S., & Relyea R. A. (2021).  Modeling Diel Vertical Migration with Membrane Computing. Journal of Membrane Computing. 3, 35-50. Abstract
Orellana-Martín, D., Martínez-del-Amor M. A., Valencia-Cabrera L., Pérez-Hurtado I., Riscos-Núñez A., & Pérez-Jiménez M. J. (2021).  Dendrite P Systems toolbox: representation, algorithms and simulators. International Journal of Neural Systems. 31(1), 2050071.
Casauay, L. J., Macababayao I. C., Cabarle F. G., de la Cruz R. T., Adorna H., Zeng X. X., et al. (2021).  A Framework for Evolving Spiking Neural P Systems. International Journal of Unconventional Computing. 16(2-3), 121-139.
Torres-Moríñigo, A., Martínez-del-Amor M. A., & Sancho-Caparrini F. (2021).  GPU-parallel Crowd Simulation with Vulkan. 6th International Workshop on Modeling and Simulation of and by Parallel and Distributed Systems (MSPDS 2020). In press.
Li, B., Peng H., Luo X., Wang J., Song X., Pérez-Jiménez M. J., et al. (2021).  Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. International Journal of Neural Systems. 31(1), 2050050.
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. A., & Valencia-Cabrera L. (2021).  A membrane computing framework for social navigation in robotics. Computers and Electrical Engineering. 95, 107408.
Martínez-del-Amor, M. A., Orellana-Martín D., Pérez-Hurtado I., Cabarle F. G. C., & Adorna H. N. (2021).  Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations. Processes. 9(4),  Abstract
Lv, Z., Bao T., Zhou N., Peng H., Huang X., Riscos-Núñez A., et al. (2021).  Spiking Neural P Systems with Extended Channel Rules. International Journal of Neural Systems. 31(1), 2050049.
Song, B., Li K., Orellana-Martín D., Pérez-Jiménez M. J., & Pérez-Hurtado I. (2021).  A Survey of Nature-Inspired Computing: Membrane Computing. ACM Computing Surveys. 54, Article no 22. Abstract
2020
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2020).  From NP-Completeness to DP-Completeness: A Membrane Computing Perspective. Complexity. 2020, 10.
Martínez-del-Amor, M. A., Doncel-Ramírez A., Orellana-Martín D., & Pérez-Hurtado I. (2020).  Simulating Population Dynamics P systems with extra parallelism. International Conference on Membrane Computing (ICMC2020).
Pan, L., Orellana-Martín D., Song B., & Pérez-Jiménez M. J. (2020).  Cell-like P systems with polarizations and minimal rules. Theoretical Computer Science. 816, 1-18. Abstract
Martínez-del-Amor, M. A., Pérez-Hurtado I., Orellana-Martín D., & Pérez-Jiménez M. J. (2020).  Adaptative parallel simulators for bioinspired computing models. Future Generation Computer Systems. 107, 469-484. Abstract
Song, B., Li K., Orellana-Martín D., Valencia-Cabrera L., & Pérez-Jiménez M. J. (2020).  Cell-like P systems with evolutional symport/antiport rules and membrane creation. Information and Computation. 104542(In press), 
Peng, H., Bao T., Luo X., Wang J., Song X., Riscos-Núñez A., et al. (2020).  Dendrite P systems. Neural Networks. 127, 110 - 120. Abstract
Martínez-del-Amor, M. A., Doncel-Ramírez A., Orellana-Martín D., & Pérez-Hurtado I. (2020).  Extracting Parallelism in Simulation Algorithms for PDP systems. 18th Brainstorming Week on Membrane Computing (BWMC2020). 79-90.
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2020).  Membrane Creation in Polarizationless P Systems with Active Membranes. Fundamenta Informaticae. 171(1-4), 297-311.
Pérez-Hurtado, I., Martínez-del-Amor M. A., Zhang G., Neri F., & Pérez-Jiménez M. J. (2020).  A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning. Integrated Computer-Aided Engineering. 27(2), 121-138. Abstract