Deep learning is to biological neural systems as quantum theory is to consciousness. @KordingLab @tyrell_turing @tdverstynen @GaryMarcus @GaryMarcus @danilobzdok @kendmil
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Every model is an abstraction. Newtonian mechanics ignores air turbulence, molecular interactions, etc. Climate models capture coarse grained interactions, not the multitude of animals, plants, and wind-currents that truly shape the climate. Neural networks are no different.
Let's be real. Current neural nets have been shown empirically to work on some problems (after tinkering to get details right) - but do we really *know* that they are an abstraction of the brain, in which their details map onto simplifications of actual brain processes? No.
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I'm sorry, but this is a bad take. Yes, we know they are simplifications of real brains. 1) Neurons do something very similar to linear integration with a non-linearity. 2) They process inputs in a distributed, parallel manner. ANNs capture this basic process, period.
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I am amazed at how many ppl resist this basic fact! Folks: you may believe ANNs miss critical biological details, cool, that's a legit position to take. But why pretend that ANNs are not an abstraction of neural processing? That is simply not a tenable position, frankly.
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I can't believe I've having to say this to you, but have you considered the relevant cognitive psychology literature? There is a lot of work on these questions. We don't "know" in any absolute sense, but it's an active hypothesis that hasn't yet been falsified.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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But, if NN passes Turing test, then who cares what it IS. People will BELiEVE it's human and so there's gold in them that hills!
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them *thar hills
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