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What is the difference between a feed-forward neural network and a liquid state machine?

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I have used a FFNN and LSM to perform the same task, namely, to predict the sentence "How are you". The LSM gave me more accurate results than FFNN. However, the LSM did not produce perfect prediction and there are missing letters. More specifically, LSM produced "Hw are yo" and the FFNN predicted "Hnw brf ypu".

What is the difference between a FFNN and a LSM, in terms of architecture and purpose?


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