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

Oh, wow.

Oh, wow. Hello, you're listening to the Science of Everything podcast, episode 113, Visual Processing,

and I'm your host, James Fodor.

So this episode is a little bit different because I recorded this originally

several years ago as part of the Vision series of episodes, which was episodes 45 and 47,

so that's actually going back quite a ways now.

And I kind of at the time archived this episode because I decided that we had sort of enough on vision for the time being. And for a few other reasons, I wanted to rework some of the

content in this episode. And it's been sitting in my folder for, well,

several years now. And as I think I've mentioned, I've decided to put up an episode talking about

the work that I've been doing as part of my thesis this year for my master's degree in neuroscience.

And as I've just been recording and editing that, I realize that I have this episode where I

discuss many of the same issues that's been sitting on my hard drive for years, and I figured,

well, now is a good time to put that out.

So just bear that in mind so that perhaps the recordings sound may be a little bit different

because this was recorded several years ago.

In this episode, we're going to look at the ideas of processing of visual information

in, well, the visual system and how object recognition

and feature extraction occurs. And so this episode follows on from episodes, as I mentioned

before, episodes 45 through 47 on vision, so I recommend listening to them first. Some of the

episodes on the nervous system may also be useful, such as episode 38, neurons and synapses. So check that out as well.

And without further ado, let's get started in talking about visual processing. The first thing to

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