Warning: Use of undefined constant REQUEST_URI - assumed 'REQUEST_URI' (this will throw an Error in a future version of PHP) in /home/majesticgrades/public_html/wp-content/themes/betheme/functions.php on line 73 how perception derives immense complexities - Majestic Grades
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Looking at the reverse figure of both a young girl and an old woman, it is clear that perception derives immense complexities and structural descriptions of the visual world from patterns of activity at the sensory receptors.
One of the explanations to this notion is the fact that visual systems, just like any other physical systems, are aimed at finding the simplest and most stable organization, consistent with the sensory input (Craver, 2007). That is, visual systems technically choose the simplest interpretation and one that is expressed by the less amount of concepts in terms of descriptive parameters due to regularities. As such, the preferred perceptual organization is the one which elicits the briefest possible preconscious perceptual encoding (Craver, 2007).
Thus, ultimately, this explanation leads to the belief that a visual result or description is meaningful if it carries information of elements and by specifying the structure of the stimulus. Interestingly, by perceiving people, buildings, cities, and cars, we more or less perceive different kinds of organization. At the same time, this culminates in the understanding that perceptual objects extend the figure-ground and grouping organization to the formation of meanings (Craver, 2007). In other words, perceptual objects are made up of element components grouped and segregated. Therefore, appear as shapes related to others, transmitting one or more meanings related to several other shapes, just like the reversed figure under analysis. This perceptual organization, thus, creates the complex world perceived in everyday life (Craver, 2007).
In conclusion, similar stimulus pattern, in the context of our experience, can be perceived as many possible objects and that they contain an implicitly high number of possible organization.
Craver, C. F. (2007). Explaining the brain mechanisms and the mosaic unity of neuroscience. Oxford: Clarendon Press
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