A Bioplausible Model for the Expanding Hole Illusion: Insights into Retinal Processing and Illusory Motion

• URL: http://arxiv.org/abs/2501.08625v1
• Date: Wed, 15 Jan 2025 07:03:44 GMT
• Title: A Bioplausible Model for the Expanding Hole Illusion: Insights into Retinal Processing and Illusory Motion
• Authors: Nasim Nematzadeh, David M. W. Powers,
• Abstract summary: The Expanding Hole Illusion challenges our understanding of how the brain processes visual information. Recent psychophysical studies reveal that this illusion induces not only a perceptual effect but also physiological responses, such as pupil dilation. This paper presents a computational model based on Difference of Gaussians (DoG) filtering and a classical receptive field (CRF) implementation to simulate early retinal processing.
• Score: 1.6574413179773761
• License:
• Abstract: The Expanding Hole Illusion is a compelling visual phenomenon in which a static, concentric pattern evokes a strong perception of continuous forward motion. Despite its simplicity, this illusion challenges our understanding of how the brain processes visual information, particularly motion derived from static cues. While the neural basis of this illusion has remained elusive, recent psychophysical studies [1] reveal that this illusion induces not only a perceptual effect but also physiological responses, such as pupil dilation. This paper presents a computational model based on Difference of Gaussians (DoG) filtering and a classical receptive field (CRF) implementation to simulate early retinal processing and to explain the underlying mechanisms of this illusion. Based on our results we hypothesize that the illusion arises from contrast-dependent lateral inhibition in early visual processing. Our results demonstrate that contrast gradients and multi-layered spatial processing contribute to the perception of expansion, aligning closely with psychophysical findings and supporting the role of retinal ganglion cells in generating this illusory motion signal. Our findings provide insights into the perceptual biases driving dynamic illusions and offer a new framework for studying complex visual phenomena.

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