I have a prepreprint on relationship between deep neural networks and cortical pathways. Will link you when done!
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The relationship is not anywhere near as simple as not similar at all. Taking into account Matt's levels we 1/2
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can tell apart what is and is not brain-/mind-like without becoming reductionists/HPB-level bad. 2/2
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This all being said though the concept of what is and not "natural" or "biological" or even dirtier words like 1/2
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"neuroplausible" is not simple to pin down because they're often incoherent. Altho see: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.155.793&rep=rep1&type=pdf …
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At the end of the day if you are on the e.g., computational level and you perform an appropriate computation 1/2
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with your model then your model is indeed *insert one of those weasel words*. 2/2 https://en.wikipedia.org/wiki/David_Marr_(neuroscientist)#Levels_of_analysis …
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Final thought: I teach ANNs and I plan to do some outreach stuff for lay ppl so I might ask you for feedback.
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Happy to offer whatever I can! I'm trying to find video of a great talk from a few weeks ago. I'll pass it along if I do.
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Replying to @EmilyGorcenski @quominus
Talk on ANNs for lay ppl? I've been teaching them to psychology students for a while, but can always learn more.
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It was a talk about using more descriptive, less sensational language aroubd ML problems.
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Emily G Retweeted Frank Pasquale
Was a talk by Lucy Suchman at AINow about not anthropomorphising tech.https://twitter.com/FrankPasquale/status/751191292500148224 …
Emily G added,
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