DocumentCode :
2958215
Title :
Object perception in the neural modeling fields framework
Author :
Fontanari, José F. ; Perlovsky, Leonid I.
Author_Institution :
Inst. de Fis. de Sao Carlos, Univ. de Sao Paulo, Sao Paulo
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
1774
Lastpage :
1779
Abstract :
Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment. This insight, which is based on Spelkepsilas experiments on language acquisition by children, is akin to Aristotlepsilas conception of object as a ldquocontinuous thingrdquo that has one and only one movement. Here we test this idea with a computer experiment in which the perceptual system of the individual is modeled by the Neural Modeling Fields categorization mechanism, and the environment is composed of two complex objects that can move with respect to each other. Rather remarkably, we find that movement indeed makes possible the differentiation of objects which the individual would deem indistinguishable if motionless.
Keywords :
cognition; cognitive systems; neural nets; children language acquisition; complex objects; neural modeling fields categorization mechanism; object perception; perceptual system; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4634038
Filename :
4634038
Link To Document :
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