Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Silvia Ortín"'
Autor:
Silvia Ortín, Miguel C. Soriano, Christian Tetzlaff, Florentin Wörgötter, Ingo Fischer, Claudio R. Mirasso, Apostolos Argyris
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
The implementation of machine learning concepts using optoelectronic and photonic components is rapidly advancing. Here, we use the recently introduced notion of optical dendritic structures, which aspires to transfer neurobiological principles to ph
Externí odkaz:
https://doaj.org/article/c1c4d9f566ee468caaed25bc985c6fdc
Autor:
Silvia Ortín, Luis Pesquera
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
We study the role of the system response time in the computational capacity of delay-based reservoir computers. Photonic hardware implementation of these systems offers high processing speed. However, delay-based reservoir computers have a trade-off
Externí odkaz:
https://doaj.org/article/1f233a25c5af410b98091c5dc1492934
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
We present a fully automatic and fast ECG arrhythmia classifier based on a simple brain-inspired machine learning approach known as Echo State Networks. Our classifier has a low-demanding feature processing that only requires a single ECG lead. Its t
Externí odkaz:
https://doaj.org/article/8819c6c1d48c456caebd40aab9a765a8
Autor:
Miguel C. Soriano, Guiomar Niso, Jillian Clements, Silvia Ortín, Sira Carrasco, María Gudín, Claudio R. Mirasso, Ernesto Pereda
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
Certain differences between brain networks of healthy and epilectic subjects have been reported even during the interictal activity, in which no epileptic seizures occur. Here, magnetoencephalography (MEG) data recorded in the resting state is used t
Externí odkaz:
https://doaj.org/article/1f828173259142139d95fbc4ece857e0
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
[Background and objective] In this work, we develop a fully automatic and real-time ventricular heartbeat classifier based on a single ECG lead. Single ECG lead classifiers can be especially useful for wearable technologies that provide continuous an
Autor:
Luis Pesquera, Silvia Ortín
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
We analyze the degradation of the computational capacity of delay-based reservoir computers due to system response time. We demonstrate that this degradation is reduced when the delay time is greater than the data injection time. Performance improvem
Autor:
Claudio R. Mirasso, Sira Carrasco, Silvia Ortín, Miguel C. Soriano, Jillian M. Clements, María Gudín, Ernesto Pereda, Guiomar Niso
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Frontiers in Neuroinformatics, Vol 11 (2017)
Frontiers in Neuroinformatics
instname
Frontiers in Neuroinformatics, Vol 11 (2017)
Frontiers in Neuroinformatics
Certain differences between brain networks of healthy and epilectic subjects have been reported even during the interictal activity, in which no epileptic seizures occur. Here, magnetoencephalography (MEG) data recorded in the resting state is used t
Autor:
Silvia Ortín, Luis Pesquera
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Reservoir computing (RC) has attracted a lot of attention in the field of machine learning because of its promising performance in a broad range of applications. However, it is difficult to implement standard RC in hardware. Reservoir computers with
Autor:
Jan Danckaert, Miguel C. Soriano, Silvia Ortín, Luis Pesquera, Lars Keuninckx, Guy Van der Sande, Lennert Appeltant
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Reservoir computing is a paradigm in machine learning whose processing capabilities rely on the dynamical behavior of recurrent neural networks. We present a mixed analog and digital implementation of this concept with a nonlinear analog electronic c