Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2013, Issue 1, Pages 55–62 (Mi iipr389)  
This article is cited in 3 scientific papers (total in 3 papers)

Modeling of creative thinking

The visual cortex model for object recognition and classification

N. A. Efremovaa, Toshio Inuib

a Plekhanov Russian State University of Economics, Moscow
b Kyoto University
Full-text PDF (488 kB) Citations (3)
Abstract: We propose a neural network of ventral visual pathway for recognition and classification of 3D realworld objects. The model consists of hierarchy of modules, representing the visual areas V1–V4 and inferotemporal cortex (IT). The architecture of the model represents the self-organized map (SOM) of functional radial-basis function (RBF) modules. We show that the proposed architecture is capable of recognizing and categorizing 3D real-world objects in a neurophysiologically plausible way.
Keywords: inferotemporal cortex, object recognition, neural network model, mental rotation.
English version:
Scientific and Technical Information Processing, 2014, Volume 41, Issue 6, Pages 362–369
DOI: https://doi.org/10.3103/S0147688214060045
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. A. Efremova, Toshio Inui, “The visual cortex model for object recognition and classification”, Artificial Intelligence and Decision Making, 2013, no. 1, 55–62; Scientific and Technical Information Processing, 41:6 (2014), 362–369
Citation in format AMSBIB
\Bibitem{EfrTos13}
\by N.~A.~Efremova, Toshio~Inui
\paper The visual cortex model for object recognition and classification
\jour Artificial Intelligence and Decision Making
\yr 2013
\issue 1
\pages 55--62
\mathnet{http://mi.mathnet.ru/iipr389}
\elib{https://elibrary.ru/item.asp?id=19096188}
\transl
\jour Scientific and Technical Information Processing
\yr 2014
\vol 41
\issue 6
\pages 362--369
\crossref{https://doi.org/10.3103/S0147688214060045}
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  • https://www.mathnet.ru/eng/iipr389
  • https://www.mathnet.ru/eng/iipr/y2013/i1/p55
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:39
    Full-text PDF :27
    References:1
     
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