yes, thanks! I've seen it used in modeling the learning how to discriminate vowels. Do you know of other nice cognitive applications?
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Interesting idea. the students will be pretty savvy, but I'd like to present models that can be compared to actual human performance in cognitive tasks (ideally in more than one cognitive domain). I'll need to read more on where it's been used.
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What about teaching them about cognitive architectures? ACT-R would be a good basic one, perhaps? Again I might be pushing it. https://en.m.wikipedia.org/wiki/ACT-R
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oh, that's
@JCSkewesDK 's darling. I'd never presume to cross that line (he also teaches in the program) ;-) -
Yes! Thanks Olivia. We have an architecture course at the start of our new MSc. Was tossing up between ACT-R and Nengo, but am settled on ACT-R. Got some tips from Coty Gonzalez recently, we use the Anderson textbook for intro, so there's a nice symmetry. Will be my only course

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...and Riccardo, do you know of
@VandekerckhoveJ's jags distributions for hierarchical drift diffusions models (there's probably a stan version by now)? We should also co-ordinate a bit because there'll be some of this on the new decision course. -
stan and brms both :-P I used it a bit, but it requires a ton of data to identify parameter values, or very tight theory-driven priors and hyperpriors. So I'll need to collect an ad hoc dataset to introduce the students to it.
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