Method and apparatus for predicting and controlling the percepts induced by a visual prosthesis
Here we present the first model that quantitatively predicts the apparent spatial position and shape of percepts elicited by retinal electrical stimulation in humans based on the known anatomy of the retina. This model successfully predicts both the shape of percepts elicited by single electrode stimulation and the shape and relative positions of percepts elicited by multiple electrode stimulation. Model fits to behavioral data show that sensitivity to electrical stimulation is not confined to the axon initial segment, but does fall off rapidly with the distance between stimulation and the initial segment. Using the model, it is possible to compensate, preferably with a look up table, to match percepts to a desired image.
1. A method of predicting a spatial response to electrical stimulation with a visual prosthesis comprising:
observing the location of an electrode array of the visual prosthesis as it relates to axonal patterns of a retina;
applying a formula predictive of percept shapes to said observations, and altering stimulation patterns based upon said observations and said formula.
2. The method according to claim 1 , wherein the step of observing includes observing two or more electrodes across a single axon.
3. The method according to claim 2 , wherein the step of observing further includes observing which of the two or more electrodes is closest to the raphe.
4. The method according to claim 1 , wherein the step of observing includes observing which electrodes are not over axons.
5. The method according to claim 1 , wherein the method is performed by an automated process using a photographic image of the array on the retina.
6. The method according to claim 5 , wherein the photographic image is a fluorescent angiography.
7. The method according to claim 1 , wherein the step of observing is by fluorescent angiography.
8. The method according to claim 1 , wherein the steps of observing and applying are completed by computer which is detachable from a visual prosthesis.