Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A Neural Network Approach for Analyzing the Illusion of Movement in Static Images
Year:2008
Research Areas
  • Artificial intelligence,
  • Automatic,
  • Processing and signal analysis
Information
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.
International
Si
Congress
The 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008
960
Place
Orlando, FL, EEUU
Reviewers
Si
ISBN/ISSN
1-934272-30-2
Start Date
29/06/2008
End Date
02/07/2008
From page
86
To page
91
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)
Participants
  • Autor: FJ Ramírez-Fernández
  • Autor: J Ropero-Peláez (Universidad de Sao Paulo, Brasil)
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: S Szafir
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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