A Processing Platform for Optoelectronic/Optogenetic Retinal Prosthesis
Abstract
The field of retinal prosthesis has been steadily devel-
oping over the last two decades. Despite the many obstacles, clinical
trials for electronic approaches are in progress and already demon-
strating some success. Optogenetic/optoelectronic retinal prosthe-
sis may prove to have even greater capabilities. Although resolu-
tions are now moving beyond recognition of simple shapes, it will
nevertheless be poor compared to normal vision. If we define the
aim to be to return mobility and natural scene recognition to the
patient, it is important to maximize the useful visual information
we attempt to transfer. In this paper, we highlight a method to
simplify the scene, perform spatial image compression, and then
apply spike coding. We then show the potential for translation on
standard consumer processors. The algorithms are applicable to all
forms of visual prosthesis, but we particularly focus on optogenetic
approaches.
Hi! My name is Fernando Téllez. I am a senior year student of electrical engineering at Universidad Simón Bolívar (USB), one of the most prestigious universities in my country (Ranked 34° at the QS University Rankings: Latin America 2015).
I code using matlab ON A DAILY BASIS to solve any kind of engineering, logical, statistical and mathematical problem.
I am happy to work on this project, and I have plenty of Octave programming experience.
However, I am a bit unsure as to what you want me to do. Do you want me to just implement
the algorithm described in the paper? If so, why: it would appear that the authors of the paper
have already implemented it.
If not, do you want me to enhance the existing Matlab code?