AIMC Topic: Visual Prosthesis
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Improving Acceptance to Sensory Substitution: A Study on the V2A-SS Learning Model Based on Information Processing Learning Theory.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 18, 2025
The visual sensory organ (VSO) serves as the primary channel for transmitting external information to the brain; therefore, damage to the VSO can severely limit daily activities. Visual-to-Auditory Sensory Substitution (V2A-SS), an innovative approac...
Neural activity shaping in visual prostheses with deep learning.
Journal of neural engineering
Jul 25, 2024
The visual perception provided by retinal prostheses is limited by the overlapping current spread of adjacent electrodes. This reduces the spatial resolution attainable with unipolar stimulation. Conversely, simultaneous multipolar stimulation guided...
Optimizing Image Enhancement: Feature Engineering for Improved Classification in AI-Assisted Artificial Retinas.
Sensors (Basel, Switzerland)
Apr 23, 2024
Artificial retinas have revolutionized the lives of many blind people by enabling their ability to perceive vision via an implanted chip. Despite significant advancements, there are some limitations that cannot be ignored. Presenting all objects capt...
Robot-assisted implantation of a microelectrode array in the occipital lobe as a visual prosthesis: technical note.
Journal of neurosurgery
Oct 27, 2023
The prospect of direct interaction between the brain and computers has been investigated in recent decades, revealing several potential applications. One of these is sight restoration in profoundly blind people, which is based on the ability to elici...
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks.
IEEE transactions on neural networks and learning systems
Nov 30, 2020
Deep neural networks (DNNs) are widely used and demonstrated their power in many applications, such as computer vision and pattern recognition. However, the training of these networks can be time consuming. Such a problem could be alleviated by using...
Eye Gaze Based 3D Triangulation for Robotic Bionic Eyes.
Sensors (Basel, Switzerland)
Sep 15, 2020
Three-dimensional (3D) triangulation based on active binocular vision has increasing amounts of applications in computer vision and robotics. An active binocular vision system with non-fixed cameras needs to calibrate the stereo extrinsic parameters ...
Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.
International journal of neural systems
Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Semantic and structural image segmentation for prosthetic vision.
PloS one
Jan 29, 2020
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color ...
Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.
Journal of neural engineering
Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision.
Artificial intelligence in medicine
Nov 10, 2017
BACKGROUND AND OBJECTIVE: Current retinal prostheses can only generate low-resolution visual percepts constituted of limited phosphenes which are elicited by an electrode array and with uncontrollable color and restricted grayscale. Under this visual...
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