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
|