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What is After-Effect

Describing Nature Through Visual Data
The motion aftereffect illusion has been known since ancient Greek times. It has been studied extensively by psychologists however the cause is still not fully understood. Some researchers attribute the effect to the adaptation by specific neurons in the visual cortex responsible for the perception of motion. As long as the neural net is active, the brain will automatically make the neural networks, networks that have already learned, more similar to what the original scene was, by means of comparison.
Published in Chapter:
Random Processes and Visual Perception: Stochastic Art
Jean Constant (Hermay.org, USA)
Copyright: © 2021 |Pages: 15
DOI: 10.4018/978-1-7998-5753-2.ch002
Abstract
The aim of this chapter is to explore a classic stochastic problem using the tools of the graphics environment. Stochastic processes are associated with the concepts of uncertainty or chance. Major areas of research in mathematical and applied sciences, statistics, finance, and artificial intelligence/machine learning benefit from the knowledge gained studying this process. Visual Art also depends on elements of uncertainty and chance. To explore the commonality of concern between Science and Art and better understand stochastic processes, the author organizes his research according to the Knowledge Visualization framework, examines a graph theory reference model called the “shortest route problem,” and, adding additional elements specific to the art-making process, shares his results to highlight the relevance of interdisciplinary studies in the fields of randomness and visual perception.
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