Memorias de investigación
Ponencias en congresos:
A Neural Network Approach for Analyzing the Illusion of Movement in Static Images
Año:2008
Áreas de investigación
  • Inteligencia artificial,
  • Automática,
  • Procesado y análisis de la señal
Datos
Descripción
The purpose of this work is to analyze the illusion of movement that appears when seeing certain static images. This analysis is accomplished by using a biologically plausible neural network that learned (in a unsupervised manner) to identify the movement direction of shifting training patterns. Some of the biological features that characterizes this neural network are: intrinsic plasticity to adapt firing probability, metaplasticity to regulate synaptic weights and firing adaptation of simulated pyramidal networks. After analyzing the results, we hypothesize that the illusion is due to cinematographic perception mechanisms in the brain due to which each visual frame is renewed approximately each 100 msec. Blurring of moving object in visual frames might be interpreted by the brain as movement, the same as if we present a static blurred object.
Internacional
Si
Nombre congreso
The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Tipo de participación
960
Lugar del congreso
Orlando, FL, EEUU
Revisores
Si
ISBN o ISSN
1-934272-30-2
DOI
Fecha inicio congreso
29/06/2008
Fecha fin congreso
02/07/2008
Desde la página
86
Hasta la página
91
Título de las actas
Proceedings of the 12th Word Multi-Conference on Systemics, Cybernetics and Informatics; Jointly with the 14th International Conference on Information Systems Analysis and Synthesis; WMSCI 2008. Volume VIII (Post-Proceedings)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: FJ Ramírez-Fernández
  • Autor: J Ropero-Peláez Universidad de Sao Paulo, Brasil
  • Autor: Diego Andina De la Fuente UPM
  • Autor: S Szafir
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones