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A comment on Hardware Architectures for Deep Neural Networks [pdf]. Parent comment

Re:Hardware Architectures for Deep Neural Networks [pdf] by 0xbear on Wednesday September 06, 2017 @12:37PM (#15184985)
How do you figure an "axon contributes one FLOP" if it's spiking? Seems to me a _spike train_ (that is, a long series of activations) would be equivalent to a floating point operation, not a single spike.
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Re:Hardware Architectures for Deep Neural Networks [pdf] by neolefty on Friday September 08, 2017 @10:44AM (#15200533)
My estimate is undoubtedly a case of "Doesn't realize the difficulty of the question, therefore naively tries to answer it."

I think you have a much more sophisticated understanding of neurons than I do!

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