Sliding-window training on readout layer enhances liquid state machines for temporal prediction

Shimeng Wu, Andrew Walter, Andy M. Tyrrell, Martin A. Trefzer

Open source

DOI: 10.1038/s44335-026-00093-1
Published: 2026-09-16
Container: npj Unconventional Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s44335-026-00093-1,
  title = {Sliding-window training on readout layer enhances liquid state machines for temporal prediction},
  author = {Shimeng Wu and Andrew Walter and Andy M. Tyrrell and Martin A. Trefzer},
  year = {2026},
  journal = {npj Unconventional Computing},
  doi = {10.1038/s44335-026-00093-1},
  url = {https://doi.org/10.1038/s44335-026-00093-1}
}

RIS

TY  - JOUR
TI  - Sliding-window training on readout layer enhances liquid state machines for temporal prediction
AU  - Shimeng Wu
AU  - Andrew Walter
AU  - Andy M. Tyrrell
AU  - Martin A. Trefzer
PY  - 2026
JO  - npj Unconventional Computing
DO  - 10.1038/s44335-026-00093-1
UR  - https://doi.org/10.1038/s44335-026-00093-1
ER  -

APA

Wu, S., Walter, A., Tyrrell, A. M., & Trefzer, M. A. (2026). Sliding-window training on readout layer enhances liquid state machines for temporal prediction. npj Unconventional Computing. https://doi.org/10.1038/s44335-026-00093-1

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crossref · retrieved 2026-09-26T12:37:03.841Z