Oh, wow, oh, oh, wow, oh, wow, oh, wow.

Oh, wow.

Oh, yeah. Hello, you're listening to The Science of Everything podcast, episode 45, vision, and I'm your host, James Fodor.

In this episode, we're going to look at human vision, going right from the eye through to the computational

analysis of visual input in the brain. So this episode is, the content that I have for this

episode is going to be far more than I can fit into a single

podcast. So I'm thinking this is going to go over two, possibly even three episodes, depending

on how we go. So I don't know exactly how much we'll get through in this first episode, but we'll

get as far as we can. So what I'll do is I'll give an overview of everything that I plan to discuss

over the series of episodes, and then we'll get as far as we go in this one, and pick up

where we left off in the next one. So first I'm going to talk about the eye, the anatomy of

the eye, how images are formed, the visual field, and after that we're going to move on to

talking about the retina, which, I mean, is part of the eye, but it's where the actual rods and cones that do the actual transduction of light into neural inputs that

the brain can actually understand. So it's kind of the crucial part of the eye, so we'll sort of

consider it separately, or in its own section. We'll look at rhodopsin, how photo transduction

occurs, the bipolar cells, ganglion cells, and some of the

other cells that are found in the retina.

Then we'll look at the output of the retina from the optic nerve leading through the optic

chasm and into the lateral geniculate nucleus, which is the first region of the brain

that the visual input goes to.

After that, we'll talk about the primary visual cortex, or V1,

the different layers within V1 and cell types, ocular dominance columns, orientation columns,

...