Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


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}
Linking options:
  • 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
    Statistics & downloads:
    Abstract page:39
    Full-text PDF :27
    References:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024