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

Andina de la Fuente, Diego and Ramírez Fernández, Francisco Javier and Ropero Peláez, Javier and Szafir, Silvio (2008). A Neural Network Approach for Analyzing the Illusion of Movement in Static Images. In: "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.

Description

Title: A Neural Network Approach for Analyzing the Illusion of Movement in Static Images
Author/s:
  • Andina de la Fuente, Diego
  • Ramírez Fernández, Francisco Javier
  • Ropero Peláez, Javier
  • Szafir, Silvio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
Event Dates: 29/06/2008-02/07/2008
Event Location: Orlando, Florida (EEUU)
Title of Book: 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
Date: 2008
ISBN: 1-934272-30-2
Volume: VIII,P
Subjects:
Freetext Keywords: Movement illusion, plasticity, metaplasticity, cinematographical perception, Kitaoka’s designs
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 3734
DC Identifier: http://oa.upm.es/3734/
OAI Identifier: oai:oa.upm.es:3734
Official URL: http://www.iiis.org/iiis/home.asp
Deposited by: Memoria Investigacion
Deposited on: 14 Jul 2010 11:32
Last Modified: 20 Apr 2016 13:13
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