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Miguel C Soriano

Showing results (1-10 of 43) with videos related to

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Physical Review. E|January 20, 2024
Quantifying the diversity of multiple time series with an ordinal symbolic approachLuciano Zunino, Miguel C Soriano
Plos One|May 26, 2018
Improving the quality of a collective signal in a consumer EEG headsetAlejandro Morán, Miguel C Soriano
Entropy (Basel, Switzerland)|August 27, 2021
Time-Delay Identification Using Multiscale Ordinal QuantifiersMiguel C Soriano, Luciano Zunino
Neural Networks : the Official Journal of the International Neural Network Society|September 13, 2025
Hardware friendly deep reservoir computingClaudio Gallicchio, Miguel C Soriano
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 15, 2015
Determining the sub-Lyapunov exponent of delay systems from time seriesThomas Jüngling, Miguel C Soriano, Ingo Fischer
IEEE Transactions on Neural Networks and Learning Systems|October 18, 2021
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental EvaluationBenedikt Vettelschoss, Andre Rohm, Miguel C Soriano
Nanophotonics (Berlin, Germany)|December 5, 2024
Neural network learning with photonics and for photonic circuit designDaniel Brunner, Miguel C Soriano, Shanhui Fan
Entropy (Basel, Switzerland)|January 8, 2025
Identifying Ordinal Similarities at Different Temporal ScalesLuciano Zunino, Xavier Porte, Miguel C Soriano
Chaos (Woodbury, N.Y.)|November 30, 2019
Machine learning algorithms for predicting the amplitude of chaotic laser pulsesPablo Amil, Miguel C Soriano, Cristina Masoller
Chaos (Woodbury, N.Y.)|January 7, 2014
Relation between delayed feedback and delay-coupled systems and its application to chaotic lasersMiguel C Soriano, Valentin Flunkert, Ingo Fischer
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Physical Review. E|January 20, 2024
Quantifying the diversity of multiple time series with an ordinal symbolic approachLuciano Zunino, Miguel C Soriano
Plos One|May 26, 2018
Improving the quality of a collective signal in a consumer EEG headsetAlejandro Morán, Miguel C Soriano
Entropy (Basel, Switzerland)|August 27, 2021
Time-Delay Identification Using Multiscale Ordinal QuantifiersMiguel C Soriano, Luciano Zunino
Neural Networks : the Official Journal of the International Neural Network Society|September 13, 2025
Hardware friendly deep reservoir computingClaudio Gallicchio, Miguel C Soriano
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 15, 2015
Determining the sub-Lyapunov exponent of delay systems from time seriesThomas Jüngling, Miguel C Soriano, Ingo Fischer
IEEE Transactions on Neural Networks and Learning Systems|October 18, 2021
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental EvaluationBenedikt Vettelschoss, Andre Rohm, Miguel C Soriano
Nanophotonics (Berlin, Germany)|December 5, 2024
Neural network learning with photonics and for photonic circuit designDaniel Brunner, Miguel C Soriano, Shanhui Fan
Entropy (Basel, Switzerland)|January 8, 2025
Identifying Ordinal Similarities at Different Temporal ScalesLuciano Zunino, Xavier Porte, Miguel C Soriano
Chaos (Woodbury, N.Y.)|November 30, 2019
Machine learning algorithms for predicting the amplitude of chaotic laser pulsesPablo Amil, Miguel C Soriano, Cristina Masoller
Chaos (Woodbury, N.Y.)|January 7, 2014
Relation between delayed feedback and delay-coupled systems and its application to chaotic lasersMiguel C Soriano, Valentin Flunkert, Ingo Fischer
Pageof 5