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You should be aware that echo-state networks are considered special cases of recurrent networks. One variant of recurrent networks, LTSMs, dominates state of the art on a wide variety of problems.

They're expensive to train, in computing time and data-requirements, but they're the closest thing we have to trained programs.




As far as I know, reservoir computing (liquid state systems) works with Spiking Neural Systems, which are different from "classic" artifical neurons.




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