Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation
William Lemaire (1), Maher Benhouria (1), Konin Koua (1), Wei Tong, (2), Gabriel Martin-Hardy (1), Melanie Stamp (3), Kumaravelu Ganesan (3),, Louis-Philippe Gauthier (1), Marwan Besrour (1), Arman Ahnood (4), David John, Garrett (4), S\'ebastien Roy (1), Michael Ibbotson (2,5)

TL;DR
This paper demonstrates the feasibility of an optically powered retinal prosthesis that uses near-infrared light to deliver power and data, successfully eliciting retinal ganglion cell responses in rat models without cables.
Contribution
It introduces a novel optically powered digital retinal implant architecture that overcomes cable-related limitations and demonstrates neural stimulation at safe irradiance levels.
Findings
Infrared power at 4 mW/mm2 can power the stimulator and elicit RGC responses.
The system can generate up to 35,000 pulses per second.
The approach enables complex, high-rate stimulation patterns.
Abstract
Clinical trials previously demonstrated the notable capacity to elicit visual percepts in blind patients affected with retinal diseases by electrically stimulating the remaining neurons on the retina. However, these implants restored very limited visual acuity and required transcutaneous cables traversing the eyeball, leading to reduced reliability and complex surgery with high postoperative infection risks. To overcome the limitations imposed by cables, a retinal implant architecture in which near-infrared illumination carries both power and data through the pupil to a digital stimulation controller is presented. A high efficiency multi-junction photovoltaic cell transduces the optical power to a CMOS stimulator capable of delivering flexible interleaved sequential stimulation through a diamond microelectrode array. To demonstrate the capacity to elicit a neural response with this…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeuroscience and Neural Engineering · Photoreceptor and optogenetics research · Advanced Memory and Neural Computing
