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by latently
3264 days ago
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The brain is a dynamic system and (some) neural networks are also dynamic systems, and a three layer neural network can learn to approximate any function. Thus, a neural network can approximate brain function arbitrarily well given time and space. Whether that simulation is conscious is another story. The Computational Cognitive Neuroscience Lab has been studying this topic for decades and has an online textbook here: http://grey.colorado.edu/CompCogNeuro The "emergent" deep learning simulator is focused on using these kinds of models to model the brain: http://grey.colorado.edu/emergent |
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The first question is whether that neural network is learnable. Sure, some configuration of neurons may exist. Is it possible given enough time and space to discover what that configuration is, given a set of inputs and outputs?
The second question is whether "enough time and space" means "beyond the lifetime and resources of anyone alive," in which case it seems perfectly reasonable to me to call it a limitation. I generally want my software to work within my lifetime.