Reservoir computing and the Sooner-is-Better bottleneck
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Published on: September 8, 2023
Stefan L Frank1, Hartmut Fitz2
1Centre for Language Studies,Radboud University Nijmegen,6500 HD Nijmegen,The Netherlands.s.frank@let.ru.nlwww.stefanfrank.info.
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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