Eye movements during path integration

Churan, Jan; Hopffgarten, Anna von; Bremmer, Frank

doi:10.14814/phy2.13921

Cited by 5 publications

(4 citation statements)

References 60 publications

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“…His eyes focus automatically by means of the lenses accommodating. His retinae turn the incoming imagery into unique patterns of electrical activity, with each glance capturing new imagery to integrate into a seamless pictorial flow ( Churan et al, 2018 ). The optic nerves continuously transfer these signals via his lateral geniculate bodies to his occipital lobes, where analysis of the structure of the scene, in terms of extent, clarity (acuity), brightness, contrast and color takes place within about a tenth of a second ( Lesniak et al, 2017 ), while the adjacent middle temporal lobes capture the flow of movement of the scene ( Zihl and Dutton, 2015 ).…”

Section: The Differences Between Typical Vision and Cortical Or Cerebral Visual Impairmentmentioning

confidence: 99%

Cortical Visual Impairments and Learning Disabilities

Chokron

Kovarski

Dutton

2021

Front. Hum. Neurosci.

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Medical advances in neonatology have improved the survival rate of premature infants, as well as children who are born under difficult neurological conditions. As a result, the prevalence of cerebral dysfunctions, whether minimal or more severe, is increasing in all industrialized countries and in some developing nations. Whereas in the past, ophthalmological diseases were considered principally responsible for severe visual impairment, today, all recent epidemiological studies show that the primary cause of blindness and severe visual impairment in children in industrialized countries is now neurological, with lesions acquired around the time of birth currently comprising the commonest contributor. The resulting cortical or cerebral visual impairments (CVIs) have long been ignored, or have been confused either with other ophthalmological disorders causing low vision, or with a range of learning disabilities. We present here the deleterious consequences that CVI can have upon learning and social interaction, and how these can be given behavioral labels without the underlying visual causes being considered. We discuss the need to train and inform clinicians in the identification and diagnosis of CVI, and how to distinguish the diagnosis of CVI from amongst other visual disorders, including the specific learning disorders. This is important because the range of approaches needed to enhance the development of children with CVI is specific to each child’s unique visual needs, making incorrect labeling or diagnosis potentially detrimental to affected children because these needs are not met.

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Section: The Differences Between Typical Vision and Cortical Or Cerebral Visual Impairmentmentioning

confidence: 99%

Cortical Visual Impairments and Learning Disabilities

Chokron

Kovarski

Dutton

2021

Front. Hum. Neurosci.

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“…Our research did not assess the situational constraints of intuitive FOE tracking; for example, task demands might suppress FOE tracking. Churan, von Hopffgarten, and Bremmer (2018) showed that when viewing optic flow stimulus to encode distance traveled, observers showed preferences as to whether they should sample near or farther away from the FOE. Combining an optic flow stimulus with a steering task, Lakshminarasimhan, Avila, Neyhart, DeAngelis, Pitkow, and Angelaki (2020) showed that observers’ eyes tracked an invisible goal for steering rather than the FOE.…”

Section: Discussionmentioning

confidence: 99%

Look where you go: Characterizing eye movements toward optic flow

et al. 2021

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When we move through our environment, objects in the visual scene create optic flow patterns on the retina. Even though optic flow is ubiquitous in everyday life, it is not well understood how our eyes naturally respond to it. In small groups of human and non-human primates, optic flow triggers intuitive, uninstructed eye movements to the focus of expansion of the pattern (Knöll, Pillow, & Huk, 2018). Here, we investigate whether such intuitive oculomotor responses to optic flow are generalizable to a larger group of human observers and how eye movements are affected by motion signal strength and task instructions. Observers (N = 43) viewed expanding or contracting optic flow constructed by a cloud of moving dots radiating from or converging toward a focus of expansion that could randomly shift. Results show that 84% of observers tracked the focus of expansion with their eyes without being explicitly instructed to track. Intuitive tracking was tuned to motion signal strength: Saccades landed closer to the focus of expansion, and smooth tracking was more accurate when dot contrast, motion coherence, and translational speed were high. Under explicit tracking instruction, the eyes aligned with the focus of expansion more closely than without instruction. Our results highlight the sensitivity of intuitive eye movements as indicators of visual motion processing in dynamic contexts.

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“…For example, task demands might suppress FOE-tracking. Churan, von Hopffgarten, and Bremmer (2018) showed that when viewing optic flow stimulus to encode distance traveled, observers showed preferences in whether they should sample near or further away from the FOE. Combining an optic flow stimulus with a steering task, Lakshminarasimhan, Avila, Neyhart, DeAngelis, Pitkow, and Angelaki (2020) showed that observers' eyes tracked an invisible goal for steering, rather than the FOE.…”

Section: Intuitive Tracking Serves Potential Applicationsmentioning

confidence: 99%

Look where you go: characterizing eye movements toward optic flow

Chow

Knöll

Madsen

et al. 2020

Preprint

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When we move through our environment, objects in the visual scene create optic flow patterns on the retina. Even though optic flow is ubiquitous in everyday life, it is not well understood how our eyes naturally respond to it. In small groups of human and non-human primates, optic flow triggers intuitive, uninstructed eye movements to the pattern’s focus of expansion (Knöll, Pillow & Huk, 2018). Here we investigate whether such intuitive oculomotor responses to optic flow are generalizable to a larger group of human observers, and how eye movements are affected by motion signal strength and task instructions. Observers (n = 43) viewed expanding or contracting optic flow constructed by a cloud of moving dots radiating from or converging toward a focus of expansion that could randomly shift. Results show that 84% of observers tracked the focus of expansion with their eyes without being explicitly instructed to track. Intuitive tracking was tuned to motion signal strength: saccades landed closer to the focus of expansion and smooth tracking was more accurate when dot contrast, motion coherence, and translational speed were high. Under explicit tracking instruction, the eyes aligned with the focus of expansion more closely than without instruction. Our results highlight the sensitivity of intuitive eye movements as indicators of visual motion processing in dynamic contexts.

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Eye movements during path integration

Cited by 5 publications

References 60 publications

Cortical Visual Impairments and Learning Disabilities

Cortical Visual Impairments and Learning Disabilities

Look where you go: Characterizing eye movements toward optic flow

Look where you go: characterizing eye movements toward optic flow

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