The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Liquid State Machines: Motivation, Theory, and Applications
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Citations
Cites
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
Jaeger, H., & Haas, H. (2004) · Science · doi:10.1126/science.1091277 · Cited by 3,811
Cited by
Recent advances in physical reservoir computing: A review
Tanaka, G., Yamane, T., Héroux, J. B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D., & Hirose, A. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.03.005 · Cited by 2,146
Chen, M., Saad, W., & Yin, C. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2891629 · Cited by 176
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
Esser, S. K., Andreopoulos, A., Appuswamy, R., Datta, P., Barch, D., Amir, A., Arthur, J., Cassidy, A., Flickner, M., Merolla, P., et al. (2013) · The 2013 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.6706746 · Cited by 125
Applications of Metaheuristics in Reservoir Computing Techniques: A Review
Bala, A., Ismail, I., Ibrahim, R., & Sait, S. M. (2018) · IEEE Access · doi:10.1109/access.2018.2873770 · Cited by 53
Mysore, N., Hota, G., Deiss, S. R., Pedroni, B. U., & Cauwenberghs, G. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.797654 · Cited by 7
Metadata
- Authors
- Maass, W.
- Venue
- Computability in Context
- Publisher
- IMPERIAL COLLEGE PRESS
- Published
- 2011-02
- Pages
- 275-296
- OpenAlex
- W2371946849
- Cited by
- 201
- References
- 1
- FWCI
- 13.13
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Maass, W. (2011). Liquid State Machines: Motivation, Theory, and Applications. Computability in Context. https://doi.org/10.1142/9781848162778_0008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
