Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
On spiking neural P systems and partially blind counter machines
Year:2008
Research Areas
  • Artificial intelligence
Information
Abstract
Abstract A k-output spiking neural P system (SNP) with output neurons,O1...Ok, generates a tuple (n1...nk) of positive integers if, starting from the initial configuration, there is a sequence of steps such that during the computation, each O i generates exactly two spikes aa (the times the pair aa are generated may be different for different output neurons) and the time interval between the first a and the second a is n i . After the output neurons generate their pairs of spikes, the system eventually halts. We give characterizations of sets definable by partially blind multicounter machines in terms of k-output SNPs operating in a sequential mode. Slight variations of the models make them universal.
International
Si
JCR
No
Title
Natural computing
ISBN
1567-7818
Impact factor JCR
0
Impact info
Volume
7
10.1007/s11047-007-9043-y
Journal number
1
From page
3
To page
19
Month
MAYO
Ranking
Participants
  • Participante: Fang Yu (University of California)
  • Participante: Oscar Ibarra (University of California)
  • Autor: Paul Andrei Paun (UPM)
  • Participante: Sara Woodworth (University of California)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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