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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2013 Issue 1, Pages 55–62 (Mi iipr389)

This article is cited 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

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:
, 2014, 41:6, 362–369

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© Steklov Math. Inst. of RAS, 2026