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Memorias de investigación
Artículos en revistas:
Spiking Neural P systems with Scheduled Synapses
Año:2017
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Bioinformática
Datos
Descripción
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological spiking neurons. SN P systems have neurons as spike processors which are placed on the nodes of a directed and static graph (the edges in the graph are the synapses). In this work, we introduce a variant called SN P systems with scheduled synapses (in short, SSN P systems). SSN P systems are inspired and motivated by the structural dynamism of biological synapses, while incorporating ideas from nonstatic (ie dynamic) graphs and networks. In particular, synapses in SSN P systems are available only at specific durations according to their schedules. The SSN P systems model is a response to the problem of introducing durations to synapses of SN P systems. Since SN P systems are in essence static graphs, it is natural to consider them for dynamic graphs also.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Nanobioscience
ISSN
1536-1241
Factor de impacto JCR
2,771
Información de impacto
Volumen
DOI
Número de revista
Desde la página
888
Hasta la página
895
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Francis George Cabarle
  • Autor: Henry Adorna
  • Autor: Min Jiang
  • Autor: Xiangxiang Zeng . (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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