Method and system for training a visual prosthesis
First Claim
1. A method for training a visual prosthesis comprising:
- presenting a non-visual reference stimulus corresponding to a reference image to a patient having a visual prosthesis, the visual prosthesis including a plurality of electrodes;
generating a training data set by presenting a series of stimulation patterns to the patient through the visual prosthesis and receiving a corresponding series of subjective patient selections of a preferred stimulation pattern among stimulation patterns in the series of stimulation patterns previously presented to the patient until the patient identifies a successful stimulation pattern, and storing the presented stimulation patterns and the received selections of the patient;
wherein at least one stimulation pattern in the series of stimulation patterns is determined at least in part based on a fitness function optimization algorithm and at least one previously received subjective patient selection in the series of subjective patient selections; and
after identifying the successful stimulation pattern, presenting off-line to a neural network at least the reference image and the successful stimulation pattern from the training data set to determine a vision solution.
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Accused Products
Abstract
A method for training a visual prosthesis includes presenting a non-visual reference stimulus corresponding to a reference image to a visual prosthesis patient. The visual prosthesis including a plurality of electrodes. Training data sets are generated by presenting a series of stimulation patterns to the patient through the visual prosthesis. Each stimulation pattern in the series, after the first, is determined at least in part on a previous subjective patient selection of a preferred stimulation pattern among stimulation patterns previously presented in the series and a fitness function optimization algorithm. The presented stimulation patterns and the selections of the patient are stored and presented to a neural network off-line to determine a vision solution.
110 Citations
33 Claims
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1. A method for training a visual prosthesis comprising:
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presenting a non-visual reference stimulus corresponding to a reference image to a patient having a visual prosthesis, the visual prosthesis including a plurality of electrodes; generating a training data set by presenting a series of stimulation patterns to the patient through the visual prosthesis and receiving a corresponding series of subjective patient selections of a preferred stimulation pattern among stimulation patterns in the series of stimulation patterns previously presented to the patient until the patient identifies a successful stimulation pattern, and storing the presented stimulation patterns and the received selections of the patient; wherein at least one stimulation pattern in the series of stimulation patterns is determined at least in part based on a fitness function optimization algorithm and at least one previously received subjective patient selection in the series of subjective patient selections; and after identifying the successful stimulation pattern, presenting off-line to a neural network at least the reference image and the successful stimulation pattern from the training data set to determine a vision solution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for training a visual prosthesis comprising:
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a) a processor configured to i) present a non-visual reference stimulus corresponding to a reference image to a patient having a visual prosthesis via a non-visual stimulus tool, the visual prosthesis including a plurality of electrodes; ii) generate a training data set by presenting a series of stimulation patterns to the patient through the visual prosthesis and receiving a corresponding series of subjective selections of a preferred stimulation pattern among stimulation patterns in the series of stimulation patterns previously presented to the patient until the patient identifies a successful stimulation pattern, and storing the presented stimulation patterns and the selections of the patient, wherein at least one stimulation pattern in the series of stimulation patterns is determined at least in part based on a fitness function optimization algorithm and at least one previously received subjective patient selection in the series of subjective patient selections; and iii) after identifying the successful stimulation pattern, present off-line to a neural network at least the reference image and the successful stimulation pattern from the training data set to determine a vision solution; and b) a user input for selecting between the presented stimulation patterns. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A method for training a retinal implant comprising:
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presenting a non-visual reference stimulus corresponding to a reference image to a patient having a retinal implant, the retinal implant including a plurality of electrodes; generating a training data set by presenting a series of stimulation patterns to the patient through the retinal implant and receiving a corresponding series of subjective patient selections of a preferred stimulation pattern among stimulation patterns in the series of stimulation patterns previously presented to the patient until the patient identifies a successful stimulation pattern, each stimulation pattern in the series after a first stimulation pattern in the series being determined based at least in part on a fitness function optimization algorithm and a previous subjective patient selection of a preferred stimulation pattern among stimulation patterns previously presented, and storing the presented stimulation patterns and the selections of the patient; and after identification of the successful stimulation pattern, presenting off-line to a neural network the training data set to determine a vision solution. - View Dependent Claims (29, 30)
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31. A computer readable medium encoding instructions for causing a computer to carry out a method comprising:
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presenting a non-visual reference stimulus corresponding to a reference image to a patient having a visual prosthesis, the visual prosthesis including a plurality of electrodes; generating a training data set by (i) presenting a series of stimulation patterns to the patient through the visual prosthesis and receiving a corresponding series of subjective selections of a preferred stimulation pattern among stimulation patterns in the series of stimulation patterns previously presented to the patient until the patient identifies a successful stimulation pattern, and storing the presented stimulation patterns and the received selections of the patient; wherein at least one stimulation pattern in the series of stimulation patterns is determined at least in part based on a fitness function optimization algorithm and at least one previously received subjective patient selection in the series of subjective patient selections; and presenting off-line to a neural network at least the reference image and the successful stimulation pattern from training data set to determine a vision solution. - View Dependent Claims (32, 33)
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Specification