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Memory in linear recurrent neural networks in continuous time.

, and . Neural Networks, 23 (3): 341-355 (2010)

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Embodiment of Learning in Electro-Optical Signal Processors., , , and . CoRR, (2016)Photonic delay systems as machine learning implementations., , , , and . J. Mach. Learn. Res., (2015)Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback., , , and . ICONIP (2), volume 9948 of Lecture Notes in Computer Science, page 318-325. (2016)Online Training of an Opto-Electronic Reservoir Computer., , , , , and . ICONIP (2), volume 9490 of Lecture Notes in Computer Science, page 233-240. Springer, (2015)Infinite Sparse Threshold Unit Networks., and . ICANN (1), volume 7552 of Lecture Notes in Computer Science, page 612-619. Springer, (2012)One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition., and . ISCAS, page 521-524. IEEE, (2010)Memristor models for machine learning., , , and . CoRR, (2014)Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback., , , and . AAAI, page 4901-4902. AAAI Press, (2017)Training and Analysing Deep Recurrent Neural Networks., and . NIPS, page 190-198. (2013)Memory in linear recurrent neural networks in continuous time., and . Neural Networks, 23 (3): 341-355 (2010)