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Reservoir computing and the Sooner-is-Better bottleneck
Published online by Cambridge University Press: 02 June 2016
Abstract
Prior language input is not lost but integrated with the current input. This principle is demonstrated by “reservoir computing”: Untrained recurrent neural networks project input sequences onto a random point in high-dimensional state space. Earlier inputs can be retrieved from this projection, albeit less reliably so as more input is received. The bottleneck is therefore not “Now-or-Never” but “Sooner-is-Better.”
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Target article
The Now-or-Never bottleneck: A fundamental constraint on language
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Author response
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