The development of active binocular vision under normal and alternate rearing conditions

The development of binocular vision is an active learning process comprising the development of disparity tuned neurons in visual cortex and the establishment of precise vergence control of the eyes. We present a computational model for the learning and self-calibration of active binocular vision ba...

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Main Authors: Lukas Klimmasch, Johann Schneider, Alexander Lelais, Maria Fronius, Bertram Emil Shi, Jochen Triesch
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-08-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/56212
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spelling doaj-98b4b6c9f53445ab838abb165a630aba2021-09-16T09:10:50ZengeLife Sciences Publications LtdeLife2050-084X2021-08-011010.7554/eLife.56212The development of active binocular vision under normal and alternate rearing conditionsLukas Klimmasch0https://orcid.org/0000-0002-9923-3052Johann Schneider1Alexander Lelais2Maria Fronius3Bertram Emil Shi4Jochen Triesch5https://orcid.org/0000-0001-8166-2441Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, GermanyFrankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, GermanyFrankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, GermanyDepartment of Ophthalmology, Child Vision Research Unit, Goethe University, Frankfurt am Main, GermanyDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, ChinaFrankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, GermanyThe development of binocular vision is an active learning process comprising the development of disparity tuned neurons in visual cortex and the establishment of precise vergence control of the eyes. We present a computational model for the learning and self-calibration of active binocular vision based on the Active Efficient Coding framework, an extension of classic efficient coding ideas to active perception. Under normal rearing conditions with naturalistic input, the model develops disparity tuned neurons and precise vergence control, allowing it to correctly interpret random dot stereograms. Under altered rearing conditions modeled after neurophysiological experiments, the model qualitatively reproduces key experimental findings on changes in binocularity and disparity tuning. Furthermore, the model makes testable predictions regarding how altered rearing conditions impede the learning of precise vergence control. Finally, the model predicts a surprising new effect that impaired vergence control affects the statistics of orientation tuning in visual cortical neurons.https://elifesciences.org/articles/56212binocular visiondepth perceptioneye movementsvergenceperceptionaction
collection DOAJ
language English
format Article
sources DOAJ
author Lukas Klimmasch
Johann Schneider
Alexander Lelais
Maria Fronius
Bertram Emil Shi
Jochen Triesch
spellingShingle Lukas Klimmasch
Johann Schneider
Alexander Lelais
Maria Fronius
Bertram Emil Shi
Jochen Triesch
The development of active binocular vision under normal and alternate rearing conditions
eLife
binocular vision
depth perception
eye movements
vergence
perception
action
author_facet Lukas Klimmasch
Johann Schneider
Alexander Lelais
Maria Fronius
Bertram Emil Shi
Jochen Triesch
author_sort Lukas Klimmasch
title The development of active binocular vision under normal and alternate rearing conditions
title_short The development of active binocular vision under normal and alternate rearing conditions
title_full The development of active binocular vision under normal and alternate rearing conditions
title_fullStr The development of active binocular vision under normal and alternate rearing conditions
title_full_unstemmed The development of active binocular vision under normal and alternate rearing conditions
title_sort development of active binocular vision under normal and alternate rearing conditions
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2021-08-01
description The development of binocular vision is an active learning process comprising the development of disparity tuned neurons in visual cortex and the establishment of precise vergence control of the eyes. We present a computational model for the learning and self-calibration of active binocular vision based on the Active Efficient Coding framework, an extension of classic efficient coding ideas to active perception. Under normal rearing conditions with naturalistic input, the model develops disparity tuned neurons and precise vergence control, allowing it to correctly interpret random dot stereograms. Under altered rearing conditions modeled after neurophysiological experiments, the model qualitatively reproduces key experimental findings on changes in binocularity and disparity tuning. Furthermore, the model makes testable predictions regarding how altered rearing conditions impede the learning of precise vergence control. Finally, the model predicts a surprising new effect that impaired vergence control affects the statistics of orientation tuning in visual cortical neurons.
topic binocular vision
depth perception
eye movements
vergence
perception
action
url https://elifesciences.org/articles/56212
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