Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Spiking Neural P Systems with Colored Spikes Autores
Year:2017
Research Areas
  • Artificial intelligence (neuronal nets, expert systems, etc),
  • Computational biology
Information
Abstract
Spiking neural P systems, shortly named SN P systems, are bio-inspired neural-like computing models, which are obtained by abstracting the way of biological neurons' spiking and communication by means of spikes in central nervous systems. SN P systems performed well in describing and modeling behaviors that occur simultaneously, yet weak at modeling complex systems with the limits of using a single spike. In this work, drawing on the idea from colored petri nets, SN P systems with colored spikes are proposed, where a finite set of colors is introduced to mark the spikes such that each spike is associated with a unique color. The updated spiking rule is applied by consuming and emitting a number of colored spikes (with the same or different colors). The computation power of the systems is investigated. Specifically, it is shown that SN P systems with colored spikes having 3 ?
International
Si
JCR
Si
Title
Ieee Transactions on Cognitive And Developmental Systems
ISBN
2379-8920
Impact factor JCR
0
Impact info
Volume
Journal number
From page
1
To page
1
Month
SIN MES
Ranking
Participants
  • Autor: Tao Song (UPM)
  • Autor: Alfonso Vicente Rodriguez-Paton Aradas (UPM)
  • Autor: Pan Zheng
  • Autor: Xiangxiang Zeng (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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