Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Normal forms for spiking neural P systems
Year:2007
Research Areas
  • Artificial intelligence
Information
Abstract
The spiking neural P systems are a class of computing devices recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we prove a series of normal forms for spiking neural P systems, concerning the regular expressions used in the firing rules, the delay between firing and spiking, the forgetting rules used, and the outdegree of the graph of synapses. In all cases, surprising simplifications are found, without losing the computational completeness - sometimes at the price of (slightly) increasing other parameters which describe the complexity of these systems.
International
Si
JCR
Si
Title
THEOR COMPUT SCI
ISBN
0304-3975
Impact factor JCR
0,735
Impact info
Volume
372
Journal number
2
From page
196
To page
217
Month
MARZO
Ranking
Participants
  • Participante: GHEORGHE PAUN (Institute of Mathematics of the Romanian Academy, PO Box 1-764, 014700 Bucureşti, Romania)
  • Participante: OSAR H. IBARRA (Department of Computer Science, University of California, Santa Barbara, CA 93106, USA)
  • Autor: Alfonso Vicente Rodriguez-Paton Aradas (UPM)
  • Autor: Petr Sosik (UPM)
  • Participante: SARA WOODWORTH (Department of Computer Science, University of California, Santa Barbara, CA 93106, USA)
  • Autor: Paul Andrei Paun (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)