Interesting, I'm curious where you see that idea expressed in mainstream cog sci.
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They thought some theory would account for cognition. But the best models are atheoretical currently.
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Replying to @o_guest @bradpwyble and
I'm curious: What do you consider atheorical models, and what theoretical models?
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Replying to @IrisVanRooij @bradpwyble and
Deep neural nets built using brute force, not due to understanding how they work. That's not theoretically driven.
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Replying to @o_guest @IrisVanRooij and
I think there's plenty of theory there, about units of processing, directionality of information flow, connectivity.
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Replying to @bradpwyble @IrisVanRooij and
The people who build them say they have no idea. I think the high level theory is lacking IMHO.
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Replying to @o_guest @bradpwyble and
Also no theory attached to the brain and yet the model captures human vision computations.
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Replying to @o_guest @IrisVanRooij and
But they don't really have "no idea". That's just a turn of phrase. They do understand basic principles of CNN, just not how it all fits >
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Replying to @bradpwyble @o_guest and
<That's true of all model authors to varying degrees, just more extreme with DNN authors. E.g. my comp neuro. models still produce surprises
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Replying to @bradpwyble @IrisVanRooij and
These people aren't in cogsci. But I have a feeling we use understand and theory differently.
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Some of the best (in terms of classification accuracy) models are just "add more layers". Eventually this heuristic might not help. Why?
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Replying to @o_guest @IrisVanRooij and
That lack of understanding doesn't make then atheoretical, IMO. Noone understands all implications of their own models.
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Replying to @bradpwyble @IrisVanRooij and
I think we're disagreeing and agreeing.
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