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In humans, body segments' position and movement can be estimated from multiple senses such as vision and proprioception. It has been suggested that vision and proprioception can influence each other and that upper-limb proprioception is…

Neurons and Cognition · Quantitative Biology 2023-06-28 Najib Abi Chebel , Florence Gaunet , Pascale Chavet , Christine Assaiante , Christophe Bourdin , Fabrice Sarlegna

Chart-based visual acuity measurements are used by billions of people to diagnose and guide treatment of vision impairment. However, the ubiquitous eye exam has no mechanism for reasoning about uncertainty and as such, suffers from a…

Artificial Intelligence · Computer Science 2019-11-25 Chris Piech , Ali Malik , Laura M Scott , Robert T Chang , Charles Lin

A chief goal of artificial intelligence is to build machines that think like people. Yet it has been argued that deep neural network architectures fail to accomplish this. Researchers have asserted these models' limitations in the domains…

Machine Learning · Computer Science 2024-08-09 Luca M. Schulze Buschoff , Elif Akata , Matthias Bethge , Eric Schulz

Diabetic retinopathy (DR) is the primary cause of vision loss among grownup people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90 percent of the new DR…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Niloy Sikder , Md. Sanaullah Chowdhury , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

The impressive lifelong learning in animal brains is primarily enabled by plastic changes in synaptic connectivity. Importantly, these changes are not passive, but are actively controlled by neuromodulation, which is itself under the…

Neural and Evolutionary Computing · Computer Science 2021-07-06 Thomas Miconi , Aditya Rawal , Jeff Clune , Kenneth O. Stanley

How the human vision system addresses the object identity-preserving recognition problem is largely unknown. Here, we use a vision recognition-reconstruction network (RRN) to investigate the development, recognition, learning and forgetting…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Feng Qi , Guanjun Jiang

Catastrophic forgetting/interference is a critical problem for lifelong learning machines, which impedes the agents from maintaining their previously learned knowledge while learning new tasks. Neural networks, in particular, suffer plenty…

Neural and Evolutionary Computing · Computer Science 2019-03-15 Soheil Kolouri , Nicholas Ketz , Xinyun Zou , Jeffrey Krichmar , Praveen Pilly

For the most of my life, I have earned my living as a computer vision professional busy with image processing tasks and problems. In the computer vision community there is a widespread belief that artificial vision systems faithfully…

Artificial Intelligence · Computer Science 2010-02-02 Emanuel Diamant

A major objective of Brain-Computer interfaces (BCI) is to restore communication and control in patients with severe motor impairments, like people with Locked-in syndrome. These patients are left only with limited eye and eyelid movements.…

Human-Computer Interaction · Computer Science 2023-02-14 P Séguin , E Maby , J Mattout

This research aims to find where visually impaired users find appliances hard to use and suggest guideline to solve this issue. 181 visually impaired users have been surveyed, and 12 visually impaired users have been selected based on…

Human-Computer Interaction · Computer Science 2024-07-10 Hyunjin An , Hyundoug Kim , Seungwoo Hong , Youngsun Shin

Brain plasticity refers to brain's ability to change neuronal connections, as a result of environmental stimuli, new experiences, or damage. In this work, we study the effects of the synaptic delay on both the coupling strengths and…

Neurons and Cognition · Quantitative Biology 2018-11-14 E. L. Lameu , E. E. N. Macau , F. S. Borges , K. C. Iarosz , I. L. Caldas , R. R. Borges , P. R. Protachevicz , R. L. Viana , A. M. Batista

Low vision involves a range of visual impairments that significantly impact daily activities, particularly navigation in urban environments. Individuals with low vision often develop adaptive strategies to compensate for visual deficits,…

Quantitative Methods · Quantitative Biology 2025-10-06 Mahya Beheshti , John_Ross Rizzo , Sarah Bergquist-Kosumi , Ajayrangan Kasturirangan , Sharvari Deshpande , Todd E Hudson

Refractive error is the most common eye disorder and is the key cause behind correctable visual impairment, responsible for nearly 80% of the visual impairment in the US. Refractive error can be diagnosed using multiple methods, including…

Human-Computer Interaction · Computer Science 2022-08-12 Aditya Aggarwal , Siddhartha Gairola , Uddeshya Upadhyay , Akshay P Vasishta , Diwakar Rao , Aditya Goyal , Kaushik Murali , Nipun Kwatra , Mohit Jain

Makeup and cosmetics offer the potential for self-expression and the reshaping of social roles for visually impaired people. However, there exist barriers to conducting a beauty regime because of the reliance on visual information and color…

Human-Computer Interaction · Computer Science 2022-03-18 Franklin Mingzhe Li , Franchesca Spektor , Meng Xia , Mina Huh , Peter Cederberg , Yuqi Gong , Kristen Shinohara , Patrick Carrington

The loss of plasticity in learning agents, analogous to the solidification of neural pathways in biological brains, significantly impedes learning and adaptation in reinforcement learning due to its non-stationary nature. To address this…

Machine Learning · Computer Science 2025-06-03 Jiashun Liu , Johan Obando-Ceron , Aaron Courville , Ling Pan

Symmetry breaking is common in animal and human brains where the lack of asymmetry often perturbs behavioral and cognitive functions. In particular, the ubiquity of mirror-image confusion in young children, which often persists in dyslexia,…

Biological Physics · Physics 2025-07-14 Albert Le Floch , Guy Ropars

Glaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently used to detect visual loss due to glaucoma. Due to the SAP…

Machine Learning · Computer Science 2021-06-22 Shounak Datta , Eduardo B. Mariottoni , David Dov , Alessandro A. Jammal , Lawrence Carin , Felipe A. Medeiros

In mixed-ability collaboration, eye contact is often treated as a default cue for attention and turn-taking. As these signals are primarily visual, they are not reliably accessible to people with visual impairments. While prior work…

Human-Computer Interaction · Computer Science 2026-05-08 Markus Wieland , Phillip Koch , Michael Sedlmair

Understanding how the human brain represents visual concepts, and in which brain regions these representations are encoded, remains a long-standing challenge. Decades of work have advanced our understanding of visual representations, yet…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Navve Wasserman , Matias Cosarinsky , Yuval Golbari , Aude Oliva , Antonio Torralba , Tamar Rott Shaham , Michal Irani

Transfer learning with models pretrained on ImageNet has become a standard practice in computer vision. Transfer learning refers to fine-tuning pretrained weights of a neural network on a downstream task, typically unrelated to ImageNet.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Xander Coetzer , Arné Schreuder , Anna Sergeevna Bosman