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1. Parker Banks (parker@pl.psion.co)'s status on Friday, 17-Feb-2023 04:58:50 JST Parker Banks

   in reply to
   @bot @NEETzsche @hermit
   As one example, all "neurons" in modern neural networks look like the pic on the left. You put in a number (X), you get a number out (Y). Whereas the spiking model of the neuron (right) can lead to numerous different, unpredictable behaviours depending on how it's configured, and what stimulus (X) it was previously exposed to. You can have a single neuron perform a Fourier transform, or exhibit memory effects. But training that level of complexity to do a given task is extremely hard, but I think necessary for "true" artificial life.