Claudio R. Mirasso spends much of his time researching Chaotic, Semiconductor laser theory, Synchronization, Optics and Laser. His research in Chaotic intersects with topics in Time series, Optical chaos, Statistical physics, Noise and Topology. His Semiconductor laser theory research includes elements of Injection locking and Coupling.
His Synchronization study incorporates themes from Phase, Quantum mechanics and Control theory. Claudio R. Mirasso has included themes like Artificial neural network and Coupling in his Optics study. His work in the fields of Laser, such as Single-mode optical fiber, overlaps with other areas such as Rate equation.
Semiconductor laser theory, Laser, Optics, Chaotic and Synchronization are his primary areas of study. His Semiconductor laser theory research is multidisciplinary, relying on both Electronic engineering, Optical communication and Single-mode optical fiber. In his study, Optical bistability is strongly linked to Optoelectronics, which falls under the umbrella field of Laser.
In his research, Reservoir computing is intimately related to Nonlinear system, which falls under the overarching field of Optics. Noise is closely connected to Statistical physics in his research, which is encompassed under the umbrella topic of Chaotic. Within one scientific family, Claudio R. Mirasso focuses on topics pertaining to Control theory under Synchronization, and may sometimes address concerns connected to Forcing.
Claudio R. Mirasso mainly investigates Neuroscience, Artificial intelligence, Topology, Reservoir computing and Synchronization. The study incorporates disciplines such as Artificial neural network, Lag and Transmission in addition to Topology. His studies in Reservoir computing integrate themes in fields like Photonics, Distributed computing, Semiconductor laser theory, Information processing and Nonlinear system.
His studies deal with areas such as Electronic engineering and Orders of magnitude as well as Photonics. He connects Semiconductor laser theory with Ultra fast in his study. In his research on the topic of Control theory, Synchronization is strongly related with Stability conditions.
His primary areas of study are Artificial intelligence, Reservoir computing, Dynamical systems theory, Topology and Synchronization. His Reservoir computing research integrates issues from Heartbeat, Distributed computing, Nonlinear system, Electronic engineering and Orders of magnitude. His biological study spans a wide range of topics, including Photonics, Equalization, Transmission line, Reduction and Semiconductor laser theory.
The Dynamical systems theory study combines topics in areas such as Artificial neural network and Granger causality. Claudio R. Mirasso has researched Synchronization in several fields, including Probability and statistics, Noise, Complex system and Control theory. His work is dedicated to discovering how Control theory, Stability conditions are connected with Information processing and other disciplines.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Chaos-based communications at high bit rates using commercial fibre-optic links
Apostolos Argyris;Dimitris Syvridis;Laurent Larger;Valerio Annovazzi-Lodi.
Information processing using a single dynamical node as complex system
L Appeltant;M C Soriano;G Van der Sande;J Danckaert.
Nature Communications (2011)
Parallel photonic information processing at gigabyte per second data rates using transient states
Daniel Brunner;Miguel C. Soriano;Claudio R. Mirasso;Ingo Fischer.
Nature Communications (2013)
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing.
Laurent Larger;Miguel C. Soriano;Daniel Brunner;Lennert Appeltant.
Optics Express (2012)
Chaos Synchronization and Spontaneous Symmetry-Breaking in Symmetrically Delay-Coupled Semiconductor Lasers
Tilmann Heil;Ingo Fischer;Wolfgang Elsässer;Josep Mulet.
Physical Review Letters (2001)
Complex photonics: Dynamics and applications of delay-coupled semiconductors lasers
Miguel C. Soriano;Jordi García-Ojalvo;Claudio R. Mirasso;Ingo Fischer.
Reviews of Modern Physics (2013)
Synchronization of chaotic semiconductor lasers: application to encoded communications
C.R. Mirasso;P. Colet;P. Garcia-Fernandez.
IEEE Photonics Technology Letters (1996)
Zero-lag long-range synchronization via dynamical relaying.
Ingo Fischer;Raúl Vicente;Javier M. Buldú;Michael Peil.
Physical Review Letters (2006)
Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays.
Raul Vicente;Leonardo L. Gollo;Claudio R. Mirasso;Ingo Fischer.
Proceedings of the National Academy of Sciences of the United States of America (2008)
Claudio J. Tessone;Claudio J. Tessone;Claudio R. Mirasso;Raúl Toral;Raúl Toral;James D. Gunton.
Physical Review Letters (2006)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: