Optimizing reservoir computing to study nonlinear systems

A pruning reservoir computing technique can mitigate noise and reconstruct nonlinear dynamics for potential engineering and neuroscience applications.

Authors

Publication Details

Journal
Scilight
Published
2025-09-04
DOI
https://doi.org/10.1063/10.0039263
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing reservoir computing to study nonlinear systems

C Murphy Patrick
Scilight
Neural Networks and Reservoir Computing
article

Optimizing reservoir computing to study nonlinear systems

C Murphy Patrick
article en

Abstract

A pruning reservoir computing technique can mitigate noise and reconstruct nonlinear dynamics for potential engineering and neuroscience applications.

ScilightVol. 2025(36)
Openalex Percentile: Top 88%
Neural Networks and Reservoir Computing
DOIOpen Access PDFOpenAlex
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Optimizing reservoir computing to study nonlinear systems — C Murphy Patrick · Scilight (2025) | TGRS Research Map | TGRS