Configurational Mechanism of X-Shaped Figures Recognition

The geometrical model of linear picture recognition made with the use of the multidimensional scaling technique for estimations of the perceptive differences between the selected X-shaped figures is described in the article. We analyzed the constructed space of the configurations by means of the terms of Sokolov and Izmailov’s spherical model of differentiating stimuli. In our research we showed that the process of the X-shaped figures discrimination was realized by the three-channel neuron network detecting two sensory features of the stimuli. Comparing the results of this work with the results of the researches of the different diagrammatic representations discrimination (lines, angles, three-linear figures) demonstrated that the X-shaped figures, recognized by the angular value and orientation, were the basic elements for human visual perception.

recognition of diagrammatic representations, multidimensional scaling, subjective estimations of perceived differences, two-channel module, spherical model of differentiating stimuli, stimulus sensory characteristics