The image projected in the retina is inverted.

So you have an image, a retina, and a brain.

Here you have a retina.

So when you look at something, like this image of this baby's face, it goes into your eye and it lands on your retina, on the front end cells here, the photoreceptors.

In other words, we're not literally replacing the components of the retina.

We've just abstracted what the retina's doing with a set of equations.

And so, in a way, the equations are serving as sort of a codebook. An image comes in, goes through the set of equations, and out comes streams of electrical pulses, just like a normal retina would produce.

The retina chip extracts four different kinds of information.

And then the transducer then makes the output cells send the code on up to the brain, and the result is a retinal prosthetic that can produce normal retinal output.

But when it's moving back and forth, the retina picks up these changes.

Can we reconstruct what the retina was seeing from the responses from the firing patterns?

The retina chip that we designed sits behind this lens here.

So what we did is we took a moment in time from these recordings and asked, what was the retina seeing at that moment?

What you notice here is that these snapshots taken from the output of the retina chip are very sparse, right?

When this first came out, it was just a really exciting thing, the idea that you even make a blind retina respond at all.

The clipboard image is larger than the current image! Paste as new image?

Picture Properties

Image Size

Pictures Adjustments

Image Settings

Image size

Image quality

Cover Image

Label Image

Image description.

Image Description

Image source

Frame duration

Image duration

Image opacity

Image Options

Image width

Image height

Image Settings

Image Position

Image Info

Image width

Obtain picture from

Image Size

Image Selection

Image Resolution

Image Properties

Size of the picture

Image Brightness

Image Diffusion