Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
ON MEMORY AND STRUCTURAL DYNAMISM IN EXCITABLE CELLULAR AUTOMATA WITH DEFENSIVE INHIBITION
Año:2008
Áreas de investigación
  • Matemáticas
Datos
Descripción
Commonly studied cellular automata are memoryless and have fixed topology of connections between cells. However by allowing updates of links and short-term memory in cells we may potentially discover novel complex regimes of spatio-temporal dynamics. Moreover, by adding memory and dynamical topology to state update rules we somehow forge elementary but nontraditional models of neurons networks (aka neuron layers in frontal parts). In the present paper, we demonstrate how this can be done on a self-inhibitory excitable cellular automata. These automata imitate a phenomenon of inhibition caused by hight-strength stimulus: a resting cell excites if there are one or two excited neighbors, the cell remains resting otherwise. We modify the automaton by allowing cells to have few-steps memories, and create links between neighboring cells removed or generated depending on the states of the cells.
Internacional
Si
JCR del ISI
Si
Título de la revista
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
ISSN
0218-1274
Factor de impacto JCR
0,91
Información de impacto
Volumen
18
DOI
Número de revista
2
Desde la página
527
Hasta la página
539
Mes
FEBRERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: ANDREW ADAMATZKY (University of the West of England)
  • Autor: Ramon Alonso Sanz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Estadística y Métodos de Gestión en Agricultura
S2i 2021 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)