A neural model of the temporal dynamics of figure-ground segregation in motion perception

Neural Networks : the Official Journal of the International Neural Network Society
Florian Raudies, Heiko Neumann

Abstract

How does the visual system manage to segment a visual scene into surfaces and objects and manage to attend to a target object? Based on psychological and physiological investigations, it has been proposed that the perceptual organization and segmentation of a scene is achieved by the processing at different levels of the visual cortical hierarchy. According to this, motion onset detection, motion-defined shape segregation, and target selection are accomplished by processes which bind together simple features into fragments of increasingly complex configurations at different levels in the processing hierarchy. As an alternative to this hierarchical processing hypothesis, it has been proposed that the processing stages for feature detection and segregation are reflected in different temporal episodes in the response patterns of individual neurons. Such temporal epochs have been observed in the activation pattern of neurons as low as in area V1. Here, we present a neural network model of motion detection, figure-ground segregation and attentive selection which explains these response patterns in an unifying framework. Based on known principles of functional architecture of the visual cortex, we propose that initial motion and moti...Continue Reading

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Apr 3, 2014·Biological cybernetics·Günther PalmAlmut Schüz
Apr 23, 2015·Proceedings of the National Academy of Sciences of the United States of America·Helen E JonesAdam M Sillito
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Mar 1, 2019·Frontiers in Neural Circuits·Selam W HabtegiorgisSiegfried Wahl
Aug 17, 2021·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Lisa ToffoliCatherine Manning

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