title: A processing platform for optoelectronic/optogenetic retinal prosthesis.
abstract: The field of retinal prosthesis has been steadily developing over the last two decades. Despite the many obstacles, clinical trials for electronic approaches are in progress and already demonstrating some success. Optogenetic/optoelectronic retinal prosthesis may prove to have even greater capabilities. Although resolutions 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.
authors: Department of Biomedical Engineering, Helwan University, Helwan 11421, Egypt. walid.al-atabany@h-eng.helwan.edu.eg
authors: Walid
authors: W
authors: Al-Atabany
authors: Brian
authors: B
authors: McGovern
authors: Kamyar
authors: K
authors: Mehran
authors: Rolando
authors: R
authors: Berlinguer-Palmini
authors: Patrick
authors: P
authors: Degenaar
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D000818:Animals; D001698:Biomedical Engineering / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008253:Macaca mulatta; D008954:Models, Biological; D062308:Optogenetics; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted; D057488:Visual Prosthesis