Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
ON MEMORY AND STRUCTURAL DYNAMISM IN EXCITABLE CELLULAR AUTOMATA WITH DEFENSIVE INHIBITION
Year:2008
Research Areas
  • Mathematics
Information
Abstract
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.
International
Si
JCR
Si
Title
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
ISBN
0218-1274
Impact factor JCR
0,91
Impact info
Volume
18
Journal number
2
From page
527
To page
539
Month
FEBRERO
Ranking
Participants
  • Autor: ANDREW ADAMATZKY (University of the West of England)
  • Autor: Ramon Alonso Sanz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Estadística y Métodos de Gestión en Agricultura
S2i 2019 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)