Dr. Poppy Crum

I could take out, to make my file smaller, I could take out every 500 milliseconds of that.

it would sound really horrible, right?

Or I could be a lot more intelligent and instead basically, you know, if you look at early models like MP3, they're kind of like computational models of the brain.

They stop, you know, they might stop at like the auditory nerve, but they're trying to put a model of how...

Our brain would deal with sound, what we would hear, what we wouldn't.

If this sound's present and it's present at the same time as this sound, then this sound wouldn't be heard, but this sound would be.

So we don't need to spend any of our bits coding this sound.

Instead, we just need to code this one.

And so it becomes an intelligent way for the model and the algorithm of deciding what information needs to be represented and what doesn't to –

create the same, the best perceptual experience, which perceptual meaning what we get to take home.

I think one of the things that's important then, why I think whenever I used to have to teach some of what it means to...

represent a rich experience with minimal data.

You think with minimal information, some of the acronyms that exist in like mobile texting, they've taken on a very rich life in internal life.

Yeah, well, those are simplistic ones, but I think people can have communication now that we can't understand entirely.

Sometimes, but I have to figure it out then.

But yes.

But the point is, that is an example of a lossy compression algorithm that actually has a much richer perceptual experience, right?

And it often needs context, but it's still, you know, you're using few bits of information to try to represent a much richer feeling in a much richer state, right?

And, you know, if you look at

different people, they're going to have, you know, bigger physiological experience dependent on, you know, how they've grown up with that kind of context.