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Descripción
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| 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. | |
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Internacional
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JCR del ISI
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Título de la revista
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Ieee Transactions on Nanobioscience |
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ISSN
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1536-1241 |
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Factor de impacto JCR
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2,771 |
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Información de impacto
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Volumen
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DOI
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Número de revista
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Desde la página
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888 |
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Hasta la página
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895 |
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Mes
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SIN MES |
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Ranking
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