Infinite Spike Trains in Spiking Neural P Systems
We initiate the study of spiking neural P systems associated with infinite sequences, by considering them as computability devices which generate infinite sequences of bits (1 indicates a step when a spike exits the system, and 0 indicates a step when the system does not send a spike to the environm...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/173914 |
| Acceso en línea: | https://hdl.handle.net/11441/173914 https://doi.org/10.59277/ROMJIST.2023.3-4.01 |
| Access Level: | acceso abierto |
| Palabra clave: | Membrane Computing Spiking Neural P Systems Spike Trains Formal Languages |
| Sumario: | We initiate the study of spiking neural P systems associated with infinite sequences, by considering them as computability devices which generate infinite sequences of bits (1 indicates a step when a spike exits the system, and 0 indicates a step when the system does not send a spike to the environment), and as devices which process infinite sequence of bits (for instance, computing Boolean operations or other operations on two input sequences). For both the generating and the transduction case we introduce some basic notions illustrated by numerous examples, establish some basic properties, and formulate a number of research topics. |
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