An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions

2018 ◽  
pp. 66-77
Author(s):  
Lukas Klimmasch ◽  
Johann Schneider ◽  
Alexander Lelais ◽  
Bertram E. Shi ◽  
Jochen Triesch
Keyword(s):  
Binocular Vision ◽  
Efficient Coding ◽  
Vision Development ◽  
Rearing Conditions

scholarly journals The Development of Active Binocular Vision under Normal and Alternate Rearing Conditions

2020 ◽  
Author(s):  
Lukas Klimmasch ◽  
Johann Schneider ◽  
Alexander Lelais ◽  
Bertram E. Shi ◽  
Jochen Triesch
Keyword(s):  
Visual Cortex ◽  
Binocular Vision ◽  
Cortical Neurons ◽  
Orientation Tuning ◽  
Active Perception ◽  
Efficient Coding ◽  
Rearing Conditions ◽  
Active Binocular Vision ◽  
Experimental Findings ◽  
Visual Cortical

AbstractThe 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, the model develops disparity tuned neurons and precise vergence control, allowing it to correctly interpret random dot stereogramms. 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.

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

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Lukas Klimmasch ◽  
Johann Schneider ◽  
Alexander Lelais ◽  
Maria Fronius ◽  
Bertram Emil Shi ◽  
...  
Keyword(s):  
Binocular Vision ◽  
Cortical Neurons ◽  
Orientation Tuning ◽  
Active Perception ◽  
Efficient Coding ◽  
Rearing Conditions ◽  
Random Dot Stereograms ◽  
Active Binocular Vision ◽  
Experimental Findings ◽  
Visual Cortical

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.

scholarly journals Active efficient coding explains the development of binocular vision and its failure in amblyopia

2020 ◽  
Vol 117 (11) ◽  
pp. 6156-6162
Author(s):  
Samuel Eckmann ◽  
Lukas Klimmasch ◽  
Bertram E. Shi ◽  
Jochen Triesch
Keyword(s):  
Eye Movements ◽  
Binocular Vision ◽  
Coding Theory ◽  
Critical Period ◽  
Receptive Fields ◽  
Efficient Coding ◽  
Coding Efficiency ◽  
Vision Development ◽  
Neural Representations ◽  
Active Binocular Vision

The development of vision during the first months of life is an active process that comprises the learning of appropriate neural representations and the learning of accurate eye movements. While it has long been suspected that the two learning processes are coupled, there is still no widely accepted theoretical framework describing this joint development. Here, we propose a computational model of the development of active binocular vision to fill this gap. The model is based on a formulation of the active efficient coding theory, which proposes that eye movements as well as stimulus encoding are jointly adapted to maximize the overall coding efficiency. Under healthy conditions, the model self-calibrates to perform accurate vergence and accommodation eye movements. It exploits disparity cues to deduce the direction of defocus, which leads to coordinated vergence and accommodation responses. In a simulated anisometropic case, where the refraction power of the two eyes differs, an amblyopia-like state develops in which the foveal region of one eye is suppressed due to inputs from the other eye. After correcting for refractive errors, the model can only reach healthy performance levels if receptive fields are still plastic, in line with findings on a critical period for binocular vision development. Overall, our model offers a unifying conceptual framework for understanding the development of binocular vision.

Quadrantal macular retinal thickness changes in strabismus subjects with abnormal binocular vision development

2012 ◽  
Vol 57 (2) ◽  
pp. 225-232 ◽  
Author(s):  
Mayumi Oka ◽  
Tsutomu Yamashita ◽  
Shizuka Ono ◽  
Ikumi Kubo ◽  
Akio Tabuchi
Keyword(s):  
Binocular Vision ◽  
Retinal Thickness ◽  
Vision Development ◽  
Macular Retinal Thickness

scholarly journals Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System

2017 ◽  
Author(s):  
Lukas Klimmasch ◽  
Alexander Lelais ◽  
Alexander Lichtenstein ◽  
Bertram E. Shi ◽  
Jochen Triesch
Keyword(s):  
Eye Movements ◽  
Binocular Vision ◽  
Biomechanical Model ◽  
Oculomotor System ◽  
High Fidelity ◽  
Active Perception ◽  
Efficient Coding ◽  
Antagonistic Muscle ◽  
Metabolic Costs ◽  
Active Binocular Vision

AbstractWe present a model for the autonomous learning of active binocular vision using a recently developed biome-chanical model of the human oculomotor system. The model is formulated in the Active Efficient Coding (AEC) framework, a recent generalization of classic efficient coding theories to active perception. The model simultaneously learns how to efficiently encode binocular images and how to generate accurate vergence eye movements that facilitate efficient encoding of the visual input. In order to resolve the redundancy problem arising from the actuation of the eyes through antagonistic muscle pairs, we consider the metabolic costs associated with eye movements. We show that the model successfully learns to trade off vergence accuracy against the associated metabolic costs, producing high fidelity vergence eye movements obeying Sherrington’s law of reciprocal innervation.

scholarly journals Effect of corneal refractive surgery on accommodative and binocular dysfunctions among civilian pilots in Southwest China

2020 ◽  
Author(s):  
Ye Wu ◽  
Zhen Zhang ◽  
Meng Liao ◽  
Qi Li ◽  
XueLin Tang ◽  
...  
Keyword(s):  
Binocular Vision ◽  
Refractive Surgery ◽  
Visual Symptom ◽  
Chi Square ◽  
Visual Symptoms ◽  
Vision Development ◽  
Significant Difference ◽  
Symptom Scores ◽  
Corneal Refractive Surgery ◽  
Normal Binocular Vision

Abstract Background: To analyze whether corneal refractive surgery (CRS) is associated with the distribution of different accommodative dysfunctions (ADs) and binocular dysfunctions (BDs) in civilian pilots. A further aim was to analyze the percentages and visual symptoms associated with ADs and/or BDs in this population.Methods: One hundred and eight civilian pilots who underwent CRS from January 2001 to July 2012 (age: 30.33±4.60 years) were enrolled, the mean preoperative SE was −1.51±1.15 D (range: −1.00- −5.00 D). Ninety-nine emmetropic civilian pilots (age: 29.64±3.77 years) who were age- and sex-matched to the CRS group were also enrolled. Refractive status, accommodative and binocular tests of each subject were performed. Visually related symptoms were quantified using the 19-item College of Optometrists in Vision Development Quality of Life (COVD-QOL) questionnaire. The 19 items were summed to obtain visual symptom scores that might indicate visual dysfunctions. The chi-square test was used to analyze differences in percentages of ADs and/or BDs between the CRS and emmetropic groups. The Mann-Whitney U test was used to compare visual symptom scores between pilots with ADs and/or BDs and pilots with normal binocular vision.Results: No significant difference was observed between the CRS and emmetropic groups in the overall prevalence of ADs and BDs (15.7% and 15.2% in the CRS and emmetropic groups, respectively; P=0.185). ADs were present in 4.63% and 3.03% of the CRS and emmetropic group, respectively. BDs were observed in 11.1% and 12.1% of the CRS and emmetropic group, respectively, yielding no significant differences between the groups in the prevalence of ADs or BDs (AD: P=0.094; BD: P=0.105). Pilots with ADs and/or BDs had significantly more visual symptoms than pilots with normal binocular vision (p < 0.001). Conclusions: CRS for civilian pilots with low-moderate myopia might not impact binocular functions. ADs and/or BDs commonly occur in both emmetropia pilots and pilots who undergo CRS, and pilots with ADs and/or BDs are associated with increased symptoms. This study confirms the importance of a full assessment of binocular visual functions in detecting and remedying these dysfunctions in this specific population.

scholarly journals Active Efficient Coding Explains the Development of Binocular Vision and its Failure in Amblyopia

2019 ◽  
Author(s):  
Samuel Eckmann ◽  
Lukas Klimmasch ◽  
Bertram E. Shi ◽  
Jochen Triesch
Keyword(s):  
Eye Movements ◽  
Computational Model ◽  
Binocular Vision ◽  
Receptive Fields ◽  
Refractive Errors ◽  
Efficient Manner ◽  
Efficient Coding ◽  
Neural Representations ◽  
Active Binocular Vision ◽  
New Formulation

The development of vision during the first months of life is an active process that comprises the learning of appropriate neural representations and the learning of accurate eye movements. While it has long been suspected that the two learning processes are coupled, there is still no widely accepted theoretical framework describing this joint development. Here we propose a computational model of the development of active binocular vision to fill this gap. The model is based on a new formulation of the Active Efficient Coding theory, which proposes that eye movements, as well as stimulus encoding, are jointly adapted to maximize the overall coding efficiency. Under healthy conditions, the model self-calibrates to perform accurate vergence and accommodation eye movements. It exploits disparity cues to deduce the direction of defocus, which leads to co-ordinated vergence and accommodation responses. In a simulated anisometropic case, where the refraction power of the two eyes differs, an amblyopia-like state develops, in which the foveal region of one eye is suppressed due to inputs from the other eye. After correcting for refractive errors, the model can only reach healthy performance levels if receptive fields are still plastic, in line with findings on a critical period for binocular vision development. Overall, our model offers a unifying conceptual framework for understanding the development of binocular vision.Significance StatementBrains must operate in an energy-efficient manner. The efficient coding hypothesis states that sensory systems achieve this by adapting neural representations to the statistics of sensory input signals. Importantly, however, these statistics are shaped by the organism’s behavior and how it samples information from the environment. Therefore, optimal performance requires jointly optimizing neural representations and behavior, a theory called Active Efficient Coding. Here we test the plausibility of this theory by proposing a computational model of the development of binocular vision. The model explains the development of accurate binocular vision under healthy conditions. In the case of refractive errors, however, the model develops an amblyopia-like state and suggests conditions for successful treatment.

scholarly journals Development of Binocular Vision

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Muhammad Syauqie ◽  
Sri Handayani Mega Putri
Keyword(s):  
Visual Acuity ◽  
Binocular Vision ◽  
Monocular Vision ◽  
Three Dimensions ◽  
Sensitive Period ◽  
Visual Axis ◽  
Sensory Fusion ◽  
Vision Development ◽  
The World ◽  
Normal Binocular Vision

AbstrakPenglihatan binokular secara harfiah berarti penglihatan dengan 2 mata dan dengan adanya penglihatan binokular, kita dapat melihat dunia dalam 3 dimensi meskipun bayangan yang jatuh pada kedua retina merupakan bayangan 2 dimensi. Penglihatan binokular juga memberikan beberapa keuntungan berupa ketajaman visual, kontras sensitivitas, dan lapangan pandang penglihatan yang lebih baik dibandingkan dengan penglihatan monokular. Penglihatan binokular normal memerlukan aksis visual yang jernih, fusi sensoris, dan fusi motoris. Pada manusia, periode sensitif dari perkembangan penglihatan binokular dimulai pada usia sekitar 3 bulan, mencapai puncaknya pada usia 1 hingga 3 tahun, telah berkembang sempurna pada usia 4 tahun dan secara perlahan menurun hingga berhenti pada usia 9 tahun. Berbagai hambatan, berupa hambatan sensoris, motoris,dan sentral, dalam jalur refleks sangat mungkin akan menghambat perkembangan dari penglihatan binokular terutama pada periode sensitif sewaktu 2 tahun pertama kehidupan.Kata kunci: penglihatan binokular, perkembangan, fusi, stereopsisAbstractBinocular vision literally means vision with two eyes and with binocular vision, we can see the world in three dimensions even though the images that fall on both of the retina were the 2-dimensional images. Binocular vision also provide some advantages included improved visual acuity, contrast sensitivity, and visual field compared with monocular vision. Normal binocular vision requires a clear visual axis, sensory fusion, and motoric fusion. In human, the sensitive period of binocular vision development began at around 3 months of age, reaching its peak at the age of 1 to 3 years, had developed completely at the age of 4 years and gradually declined until it stops at the age of 9 years. Various obstacles, such as sensory, motoric, and central obstacles, within the reflex pathway were very likely to inhibited the development of binocular vision, especially in sensitive period during the first 2 years of life.Keywords: binocular vision, development, fusion, stereopsis

Sign in / Sign up

Export Citation Format

Share Document