Echo state network
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Even randomly initialized RNNs can be paired with a learned readout to match any target signal, provided the RNN has enough units.
“it is known that even randomly initialized RNNs can be paired with a learned readout to match any target signal, provided the RNN has enough units.”
From Emergence of belief-like representations through reinforcement learning (2023) · cites this paper as [27]
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- Authors
- Jaeger, H.
- Corresponding author
- Jaeger, Herbert
- ORCID
- Jaeger, Herbert
- Venue
- Scholarpedia
- Publisher
- Scholarpedia
- Published
- 2007
- Volume
- 2
- Issue
- 9
- Pages
- 2330
- ISSN
- 1941-6016 (ISSN-L)
- OpenAlex
- W2054217036
- Cited by
- 459
- References
- 34
- Citations by year
- 2026: 26 · 2025: 44 · 2024: 48 · 2023: 42 · 2022: 35 · 2021: 30 · 2020: 24 · 2019: 18 · 2018: 28 · 2017: 16 · 2016: 10 · 2015: 14 · 2014: 22 · 2013: 24 · 2012: 22
- FWCI
- 15.78
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Scholarpedia (publishedVersion, cc-by-nc-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Reservoir Computing
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- echo state networks, reservoir computing, recurrent neural networks, time series forecasting
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