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Bridges Between Spiking Neural Membrane Systems and Virus Machines.
Ramírez-de-Arellano, Antonio; Orellana-Martín, David; Pérez-Jiménez, Mario J.
Afiliación
  • Ramírez-de-Arellano A; Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Seville, Spain.
  • Orellana-Martín D; SCORE Laboratory, I3US, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain.
  • Pérez-Jiménez MJ; Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Seville, Spain.
Int J Neural Syst ; 34(6): 2450034, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38623650
ABSTRACT
Spiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are compared in both generating and computing mode. The VMHEs defined in this work are shown to be more efficient than SNPs, requiring fewer memory units (hosts in VMHEs and neurons in SNPs) in several tasks, such as a universal machine, which was constructed with 18 hosts less than the 84 neurons in SNPs, and less than other spiking models discussed in the work.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Redes Neurales de la Computación / Modelos Neurológicos / Neuronas Límite: Animals / Humans Idioma: En Revista: Int J Neural Syst Asunto de la revista: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Singapur
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Redes Neurales de la Computación / Modelos Neurológicos / Neuronas Límite: Animals / Humans Idioma: En Revista: Int J Neural Syst Asunto de la revista: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Singapur