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apologies, reading further they refer to:

> a randomly-initialized LSTM [12] with a learned linear output layer can predict time series where traditional RNNs fail

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Yeah, though I think we could have referenced a few more works in the reservoir computing area. Will keep that in mind for the next draft.

just starting to read this. It reminds me of meiosis networks + stochastic delta rule where the weights were drawn from a random distribution (normal I think).

Added a few cites to these works, thanks.

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