Apparatus and method for transmitting prosthetic information to the brain

• US 5,037,376 A
• Filed: 07/22/1988
• Issued: 08/06/1991
• Est. Priority Date: 07/22/1988
• Status: Expired due to Term

• Current Assignee: United States Department Of Health And Human Services
• Original Assignee: United States Department Of Health And Human Services
• Inventors: Optican, Lance M., Richmond, Barry J.
• Primary Examiner(s): Howell, Kyle L.
• Assistant Examiner(s): LACYK, JOHN P
• Application Number:
  US07/222,882
• Time in Patent Office: 1,110 Days
• Field of Search: 623/24, 623/25, 128/897, 128/898, 128/420.5, 600/26-28
• US Class Current: 600/26
• CPC Class Codes: A61N 1/36046 of the eye

Abstract

An apparatus and method for transmitting prosthetic information to the brain contains an array of sensory elements that receive energy from an external stimulus and process those signals via neural filters and neural waveforms to produce a pulse or `spike` train that is temporally encoded with information that is functionally related to the external stimulus. The simulated spike trains, when applied to an appropriate area of the brain, produce perceptions that are functionally related to the sensed external stimuli so that a subject can discriminate between different spike trains representative of different external stimuli.

Claims

1. An apparatus for generating simulated neuron signals about an external stimulus sensed by a sensor that can be supplied to the brain using a neural probe comprising:

means for inputting a plurality of electrical signals produced by a sensor, the signals representative of a sensed external stimulus; and

means for converting said input electrical signals into a plurality of simulated neuron signals, each simulated neuron signal containing a plurality of temporally modulated simulated neuron impulses.

2. An apparatus according to claim 1 wherein said inputting means contains a signal factor conditioner.

3. An apparatus according to claim 1 wherein said converting means comprises:

means for weighting each electrical signal with a plurality of predetermined weighting values to produce a plurality of sets of weighted signals;

means for summing each set of weighted signals to produce a plurality of summed signals;

means for transforming said plurality of summed signals using a plurality of predetermined transforms into a plurality of time dependent signals;

means for summing said plurality of time deposit signals to produce a time dependent summed output; and

means for generating said plurality of simulated neuron impulses using said time dependent summed output.

4. An apparatus according to claim 3 wherein each of said plurality of predetermined transforms are mathematically orthogonal.

5. An apparatus according to claim 3 wherein said generating means comprises:

means for determining a plurality of sequential amplitude values for a plurality of intervals of said time dependent summed output;

means for adding a first sequential amplitude value to a second sequential amplitude value to obtain an added amplitude value;

means for comparing said added amplitude value to a predetermined amplitude value; and

pulse producing means for producing an initial simulated neuron impulse and producing a subsequent simulated neuron impulse when said comparing means determines that said added amplitude value is greater than said predetermined amplitude value.

6. An apparatus according to claim 5 further comprising:

means for subtracting said predetermined amplitude value from said added amplitude value when said added amplitude value is greater than said predetermined amplitude value to obtain a subtracted amplitude value; and

wherein said adding means adds said subtracted amplitude value and a next sequential amplitude value to obtain a subsequent added amplitude value.

7. An apparatus for generating simulated neuron signals about an external visual stimulus that can be applied to the brain using a neural probe comprising:

means for sensing an external visual stimulus; and

means for converting a sensed external visual stimulus into a plurality of simulated neuron signals, each simulated neuron signal containing a plurality of temporally modulated simulated neuron impulses.

8. An apparatus according to claim 7 wherein said sensing means outputs a plurality of electrical signals, each electrical signal containing information concerning a part of said sensed external visual stimulus.

9. An apparatus according to claim 8 wherein said sensing means comprises a plurality of photoreceipts arranged in an array.

10. An apparatus according to claim 8 wherein said converting means comprises:

means for weighting each electrical signal with a plurality of predetermined weighting values to produce a plurality of sets of weighted signals;

means for summing each set of weighted signals to produce a plurality of summed signals;

means for transforming said plurality of summed signals using a plurality of predetermined transforms into a plurality of time dependent signals;

means for summing said plurality of time dependent signals to produce a time dependent summed output; and

means for generating said plurality of simulated neuron impulses using said time dependent summed output.

11. An apparatus according to claim 10 wherein each of said plurality of predetermined transforms are mathematically orthogonal.

12. An apparatus according to claim 10 wherein said generating means comprises:

means for determining a plurality of sequential amplitude values for a plurality of intervals of said time dependent summed output;

means for adding a first sequential amplitude value to a second sequential amplitude value to obtain an added amplitude value;

means for comparing said added amplitude value to a predetermined amplitude value; and

pulse producing means for producing an initial simulated neuron impulse and producing a subsequent simulated neuron impulse when said comparing means determines that said added amplitude value is greater than said predetermined amplitude value.

13. An apparatus according to claim 11 further comprising:

means for subtracting said predetermined amplitude value from said added amplitude value when said added amplitude value is greater than said predetermined amplitude value to obtain a subtracted amplitude value; and

wherein said adding means adds said subtracted amplitude value and a next sequential amplitude value to obtain said added amplitude value.

14. An apparatus for encoding visual information received as a plurality of electrical signals from a photodetection device into a plurality of encoded signals comprising:

means for inputting a plurality of electrical signals representing visual information; and

means for converting said plurality of electrical signals a plurality of encoded signals, said converting means comprising;

means for weighting each electrical signal with a plurality of predetermined weighting values to produce a plurality of sets of weighted signals,

means for summing each of set of weighted signals to produce a plurality of summed signals,

means for transforming said plurality of summed signals using a plurality of predetermined transforms into a plurality of time dependent signals, and

means for summing said plurality of time dependent signals to produce one of said encoded signals.

15. An apparatus according to claim 14 wherein each of said plurality of predetermined transforms are mathematically orthogonal.

16. A method for generating a plurality of simulated neuron signals representative of an external stimulus that can be applied to the brain using a neural probe comprising the steps of:

sensing an external stimulus; and

converting the sensed external stimulus into a plurality of simulated neuron signals, each simulated neuron signal containing a plurality of temporally modulated simulated neuron impulses.

17. A method according to claim 16 wherein said sensing step further comprises sensing an external stimulus and providing a plurality of electrical signal representative of said stimulus, each electrical signal containing information representing of a point of said stimulus.

18. A method according to claim 17 wherein said converting step comprises the steps of:

weighting each electrical signal with a plurality of predetermined weighting values to produce a plurality of sets of weighted signals;

summing each set of weighted signals to produce a plurality of summed signals;

transforming said plurality of summed signals using a plurality of predetermined transforms into a plurality of time dependent signals;

summing said plurality of time dependent signals to produce a time dependent summed output; and

generating said plurality of simulated neuron impulses using said time dependent summed output.

19. A method according to claim 18 wherein each of said plurality of predetermined transforms used in said transforming step are mathematically orthogonal.

20. A method according to claim 18 wherein said generating step comprises the steps of:

determining a plurality of sequential amplitude values for a plurality of intervals of said time dependent summed output;

adding a first sequential amplitude value to a second sequential amplitude value to obtain an added amplitude value;

comparing said added amplitude value to a predetermined amplitude value; and

producing an initial simulated neuron impulse and producing a subsequent simulated neuron impulse when said comparing means determines that said added amplitude value is greater than said predetermined amplitude value.

21. A method according to claim 20 further including the steps of:

subtracting said predetermined amplitude value from said added amplitude value when said added amplitude value is greater than said predetermined amplitude value to obtain a subtracted amplitude value; and

wherein said adding step adds said subtracted amplitude value and a next sequential amplitude value to obtain said added amplitude value.

22. A method for encoding visual information received as a plurality of electrical signals from a photodetection device into plurality of encoded signals comprising the step of:

determining values for a plurality of sets of weighing values;

determining values for a plurality of orthogonal transforms;

inputting a plurality of electrical signals representing visual information; and

converting said plurality of electrical signals into a plurality of encoded signals using said weighting values and orthogonal transforms.

23. A method according to claim 22 wherein said converting step comprises the steps of:

weighting each electrical signal with said plurality of predetermined weighting values to produce a plurality of sets of weighted signals,

summing each set of weighted signals to produce a plurality of summed signals,

transforming said plurality of summed signals using said plurality of predetermined transforms into a plurality of time dependent signals, and

summing said plurality of time dependent signals to produce one of said encoded signals.

24. An apparatus for generating simulated neuron signals about an external stimulus that can be applied to the brain using a neural probe comprising:

an array of photoreceptors for sensing said external visual stimulus, each photoreceptor producing electrical signals representative of a portion of said external visual stimulus; and

means for producing a plurality of transform sum signals, one for each photoreceptor of said array, said producing means comprising;

means for storing a plurality of predetermined sets of weighting values,

a plurality of multipliers, each multiplier multiplying said electrical signals and one set of said weighting values, to obtain a plurality of sets of weighted signals,

a plurality of summing amplifiers, one for each set of weighted signals, for adding each set of weighted signals to obtain a plurality of summed signals,

a plurality of cubic function generators, one for each summed signal, for scaling each of said summed signals to obtain a plurality of scaled signals,

a plurality of sample and hold circuits, one for each scaled signal, for sampling and holding each of said plurality of scaled signals,

means for storing a plurality of sets of predetermined neural transform values,

a multiplexer for selecting said plurality of scaled signals,

an analog to digital convertor for digitizing each of said selected sampled and held scaled signals into digitized scale signals, and

a microprocessor for multiplying each of said digitized scale signal with a corresponding neural transform value to obtain transformed signals and adding these transformed signals to obtain a transform sum signal;

means for transforming said plurality of transform sum signals into a plurality of simulated neuron signals in which each simulated neuron signal contains a plurality of temporally modulated simulated neuron impulses, said transforming means comprising;

a microprocessor for adding successive interval values of said transform sum signals to obtain successive added values,

a threshold register for storing a preset threshold value,

a counter that produces a counter signal when said successive added values exceed said preset threshold, and

a monostable multivibrator for producing one of said simulated neuron impulses.