Wringe, Chester, Stepney, Susan orcid.org/0000-0003-3146-5401 and Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 (2024) Restricted Reservoirs on Heterogeneous Timescales. In: Lecture Notes in Computer Science:Artificial Neural Networks and Machine Learning - ICANN. Lecture Notes in Computer Science . , pp. 168-183.
Abstract
The Reservoir Computing model is one that is suited to computing with physical materials. However, the limitations of those materials can lead to low computational power. To address this, we plan to combine reservoirs operating on different timescales together to create a heterogeneous reservoir. We simulate this using a new multiple timescale ESN model. We also introduce “mock materials” so that future works may focus on combining different materials to study the effect. We benchmark our multi-timescale ESN on a multiple timescale problem, MSO.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | reservoir computing,heterogeneous timescales |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 30 Oct 2024 08:10 |
Last Modified: | 21 Jan 2025 18:27 |
Published Version: | https://doi.org/10.1007/978-3-031-72359-9_13 |
Status: | Published |
Series Name: | Lecture Notes in Computer Science |
Identification Number: | 10.1007/978-3-031-72359-9_13 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219022 |
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