Information processing using a single dynamical node as complex system
- Author
- Lennert Appeltant, Miguel Cornelles Soriano, Guy Van der Sande, Jan Danckaert, Serge Massar, Joni Dambre (UGent) , Benjamin Schrauwen (UGent) , Claudio R Mirasso and Ingo Fischer
- Organization
- Abstract
- Novel methods for information processing are highly desired in our information-driven society. Inspired by the brain's ability to process information, the recently introduced paradigm known as 'reservoir computing' shows that complex networks can efficiently perform computation. Here we introduce a novel architecture that reduces the usually required large number of elements to a single nonlinear node with delayed feedback. Through an electronic implementation, we experimentally and numerically demonstrate excellent performance in a speech recognition benchmark. Complementary numerical studies also show excellent performance for a time series prediction benchmark. These results prove that delay-dynamical systems, even in their simplest manifestation, can perform efficient information processing. This finding paves the way to feasible and resource-efficient technological implementations of reservoir computing.
- Keywords
- information processing, dynamical systems, delay coupled systems, reservoir computing, DELAYED-FEEDBACK, RECOGNITION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1901656
- MLA
- Appeltant, Lennert, et al. “Information Processing Using a Single Dynamical Node as Complex System.” NATURE COMMUNICATIONS, vol. 2, 2011, doi:10.1038/ncomms1476.
- APA
- Appeltant, L., Soriano, M. C., Van der Sande, G., Danckaert, J., Massar, S., Dambre, J., … Fischer, I. (2011). Information processing using a single dynamical node as complex system. NATURE COMMUNICATIONS, 2. https://doi.org/10.1038/ncomms1476
- Chicago author-date
- Appeltant, Lennert, Miguel Cornelles Soriano, Guy Van der Sande, Jan Danckaert, Serge Massar, Joni Dambre, Benjamin Schrauwen, Claudio R Mirasso, and Ingo Fischer. 2011. “Information Processing Using a Single Dynamical Node as Complex System.” NATURE COMMUNICATIONS 2. https://doi.org/10.1038/ncomms1476.
- Chicago author-date (all authors)
- Appeltant, Lennert, Miguel Cornelles Soriano, Guy Van der Sande, Jan Danckaert, Serge Massar, Joni Dambre, Benjamin Schrauwen, Claudio R Mirasso, and Ingo Fischer. 2011. “Information Processing Using a Single Dynamical Node as Complex System.” NATURE COMMUNICATIONS 2. doi:10.1038/ncomms1476.
- Vancouver
- 1.Appeltant L, Soriano MC, Van der Sande G, Danckaert J, Massar S, Dambre J, et al. Information processing using a single dynamical node as complex system. NATURE COMMUNICATIONS. 2011;2.
- IEEE
- [1]L. Appeltant et al., “Information processing using a single dynamical node as complex system,” NATURE COMMUNICATIONS, vol. 2, 2011.
@article{1901656,
abstract = {{Novel methods for information processing are highly desired in our information-driven society. Inspired by the brain's ability to process information, the recently introduced paradigm known as 'reservoir computing' shows that complex networks can efficiently perform computation. Here we introduce a novel architecture that reduces the usually required large number of elements to a single nonlinear node with delayed feedback. Through an electronic implementation, we experimentally and numerically demonstrate excellent performance in a speech recognition benchmark. Complementary numerical studies also show excellent performance for a time series prediction benchmark. These results prove that delay-dynamical systems, even in their simplest manifestation, can perform efficient information processing. This finding paves the way to feasible and resource-efficient technological implementations of reservoir computing.}},
articleno = {{468}},
author = {{Appeltant, Lennert and Soriano, Miguel Cornelles and Van der Sande, Guy and Danckaert, Jan and Massar, Serge and Dambre, Joni and Schrauwen, Benjamin and Mirasso, Claudio R and Fischer, Ingo}},
issn = {{2041-1723}},
journal = {{NATURE COMMUNICATIONS}},
keywords = {{information processing,dynamical systems,delay coupled systems,reservoir computing,DELAYED-FEEDBACK,RECOGNITION}},
language = {{eng}},
pages = {{6}},
title = {{Information processing using a single dynamical node as complex system}},
url = {{http://doi.org/10.1038/ncomms1476}},
volume = {{2}},
year = {{2011}},
}
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