started a new thread because my jaw dropped at the hubris of this remark.
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Replying to @GaryMarcus @neuro_data and
It's not hubris, man. You may not think ANNs are a *good* model. But, neurons are well approximated in their firing rate by a linear-non-linear model. See here: https://www.sciencedirect.com/science/article/pii/S0896627318307372 … Given this, it is ridiculous to claim that ANNs are not an abstraction of neural processing.
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Replying to @tyrell_turing @neuro_data and
mere approximation doesn’t mean you have really captured what that component is, let alone how system as a whole works. NOBODY really understands how you get from neural nonlinearities to cognition without clear account of that, rest is straw-grasping
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Replying to @GaryMarcus @neuro_data and
You're trying to have a debate with me that I'm not interested in, bc I am not taking the position you think I am. I am not claiming that I can say with certainty that ANNs are a *good* model of the brain. I am claiming that they capture *some* aspects of neural processing.
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Replying to @tyrell_turing @neuro_data and
it may turn out that we are fundamentally wrong in our early 21st century thinking about the brain, and eg that most of the action is at the dendrites and that we have misunderstood what neurons (and other constituents of the brain) do. see comment re in vitro vs in vivo
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Replying to @GaryMarcus @tyrell_turing and
But I agree that we may massively underestimate the computational power of dendrites.
@IlennaJ and@aha_momentum in my lab are going crazy about that idea ;)2 replies 0 retweets 8 likes -
Replying to @KordingLab @GaryMarcus and
@GaryMarcus I think you're not understanding@tyrell_turing . I saw another post today that said "all neurology is inferior to ANN models," and THAT point of view is genuinely worth ridiculing.1 reply 0 retweets 2 likes -
Replying to @atbolsh @KordingLab and
only thing i was ridiculing (via parallel structure) was his certainty in the face of the unknown.
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Replying to @GaryMarcus @KordingLab and
I think he was saying that ANN models might provide insight about specific brain modules / subsystems. I've seen some convincing papers specifically about cerebellum structure.
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Replying to @atbolsh @GaryMarcus and
I don't think he was that certain; I think he was certain that we shouldn't disregard this tool, not that this tool is universal. But I can see how, to someone fed up with DL hype, what he said could strike a wrong note. My two cents. I'm out
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i think it's a fine tool to consider - as a hypothesis, nothing more.
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