Biomimetic Stimulating Array for Single Localized Stimulation in Visual Prosthesis
Journal Title: International Journal of Computational & Neural Engineering (IJCNE) - Year 2017, Vol 4, Issue 3
Abstract
Visual prostheses electrically stimulate nearby neurons to generate artificial vision in patients blinded by retinal degenerative diseases. Current prosthetic devices offer limited spatial resolution that results in unselective stimulation of ganglion cells and the generation of percepts with shapes other than a small spot of light. In this study, we introduce a theoretical approach to treat the biomimetic retinal electrode array. This array produces electrodes that are self-determined to adjust their spatial parameters for single localized stimulation. Electrode stimulation of the biomimetic electrode array was simulated in a 3D reconstruction of the retina and ganglionic layer at locations in the retina with high area cell density. We also simulated ganglion cell stimulation in the far periphery as the array could be relocated on the retina due to the natural movements of the eye. Single localized stimulation was achieved throughout the retinal regions near the fovea, which is required in humans for activities where visual detail is of primary importance and thus relevant for high resolution vision. Single-cell stimulation responses leveled off until 30° of eccentricity in average using the biomimetic array with large array area. That is, the biomimetic array can produce a stable stimulation of single cells and a broad field of view for a wide region of the retina. Lastly, we provide considerations for the biomimetic electrode array for practical applications. Together of being useful to improve single cell activation, the applicability of the biomimetic electrode array can yield strategies to increase the area of the array and produce a wide-ranging field of view.
Authors and Affiliations
Diego Lujan Villarreal
Keywords
Related Articles
- EP ID EP324326
- DOI 10.19070/2572-7389-1700010
- Views 120
- Downloads 0
Study on Bifurcation of H-H Parameters And Its Variants Contribution To Neurology
The important application of bifurcation analysis of a system is estimated by the variables of H-H model. Graphical User Interface (GUI) is essential for proper visualization of results and therefore, here, we are discus...
A Treatise of the Physical Aspects of Phosphenes and Single-Cell Selectivity in Retinal Stimulation
Objective: Artificial vision is currently in an early-stage of maturity. This can be understood as a falling short of visual prosthesis to generate a complete visual scene with detail perception. Similarly, the physical...
Applying Fuzzy Mathematical Model of Emotional Learning for EEG Signal Classification Between Schizophrenics and Control Participant
This paper concerns the diagnosis of schizophrenia using an electroencephalogram signals, and introduces a new framework based on the brain emotional learning model that can be applied in wide varieties of artificial int...
Cooperative Growing Hierarchical Recurrent Self Organizing Model for Phoneme Recognition
In this paper, we propose a system of a tree evolutionary recurrent self-organizing models. Inherited from the Growing Hierarchical Self-Organizing Map GHSOM. The proposed GHSOM variants are characterized by a hierarchic...
On Visualizing Distribution Systems for Next Generation Power Distribution Grids
Three are the main objectives of this paper. Firstly, to review the recent technologies and techniques and the emerging methodologies for the visualization of powerflow analysis of distribution power grids. Secondly, to...