A Neural Network Approach for Analyzing the Illusion of Movement in Static Images

Andina de la Fuente, Diego; Ramírez Fernández, Francisco Javier; Ropero Peláez, Javier y Szafir, Silvio (2008). A Neural Network Approach for Analyzing the Illusion of Movement in Static Images. En: "12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008", 29/06/2008-02/07/2008, Orlando, Florida (EEUU). ISBN 1-934272-30-2. pp. 86-91.

Descripción

Título: A Neural Network Approach for Analyzing the Illusion of Movement in Static Images
Autor/es:
  • Andina de la Fuente, Diego
  • Ramírez Fernández, Francisco Javier
  • Ropero Peláez, Javier
  • Szafir, Silvio
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Fechas del Evento: 29/06/2008-02/07/2008
Lugar del Evento: Orlando, Florida (EEUU)
Título del Libro: 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
Fecha: 2008
ISBN: 1-934272-30-2
Volumen: VIII,P
Materias:
Palabras Clave Informales: Movement illusion, plasticity, metaplasticity, cinematographical perception, Kitaoka’s designs
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 3734
Identificador DC: http://oa.upm.es/3734/
Identificador OAI: oai:oa.upm.es:3734
URL Oficial: http://www.iiis.org/iiis/home.asp
Depositado por: Memoria Investigacion
Depositado el: 14 Jul 2010 11:32
Ultima Modificación: 20 Abr 2016 13:13
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