Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Smerieri, Anteo"'
Autor:
Antonik, Piotr, Duport, François, Hermans, Michiel, Smerieri, Anteo, Haelterman, Marc, Massar, Serge
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 11, Nov. 2017 )
Reservoir Computing is a bio-inspired computing paradigm for processing time dependent signals. The performance of its analogue implementation are comparable to other state of the art algorithms for tasks such as speech recognition or chaotic time se
Externí odkaz:
http://arxiv.org/abs/1610.06268
Autor:
Vinckier, Quentin, Duport, François, Smerieri, Anteo, Vandoorne, Kristof, Bienstman, Peter, Haelterman, Marc, Massar, Serge
Publikováno v:
Optica 2, Issue 5, pp. 438-446 (2015)
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has enabled a breakthrough in analog information processing, with several experiments, both electronic and optical, demonstrating state-of-the-art perform
Externí odkaz:
http://arxiv.org/abs/1501.03024
Reservoir computing is an information processing technique, derived from the theory of neural networks, which is easy to implement in hardware. Several reservoir computer hardware implementations have been realized recently with performance comparabl
Externí odkaz:
http://arxiv.org/abs/1406.3238
Autor:
Smerieri, Anteo, Duport, François, Paquot, Yvan, Schrauwen, Benjamin, Haelterman, Marc, Massar, Serge
Publikováno v:
Advances in Neural Information Processing Systems (NIPS) 25, 953-961 (2012)
Reservoir computing is a new, powerful and flexible machine learning technique that is easily implemented in hardware. Recently, by using a time-multiplexed architecture, hardware reservoir computers have reached performance comparable to digital imp
Externí odkaz:
http://arxiv.org/abs/1209.3129
Publikováno v:
Optics Express, Vol. 20 Issue 20, pp.22783-22795 (2012)
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node an
Externí odkaz:
http://arxiv.org/abs/1207.1619
Weber's law is one of the basic laws in psychophysics, but the link between this psychophysical behavior and the neuronal response has not yet been established. In this paper, we carried out an analysis on the spike train statistics when Weber's law
Externí odkaz:
http://arxiv.org/abs/1203.0873
Autor:
Paquot, Yvan, Duport, François, Smerieri, Anteo, Dambre, Joni, Schrauwen, Benjamin, Haelterman, Marc, Massar, Serge
Publikováno v:
Scientific Reports 2, Article number: 287, (2012)
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a
Externí odkaz:
http://arxiv.org/abs/1111.7219
Publikováno v:
In Procedia Computer Science 2011 7:312-313
Autor:
Berzina, Tatiana, Smerieri, Anteo, Bernabò, Marco, Pucci, Andrea, Ruggeri, Giacomo, Erokhin, Victor, Fontana, M. P.
Publikováno v:
Journal of Applied Physics; Jun2009, Vol. 105 Issue 12, p124515-124520, 5p, 2 Diagrams, 6 Graphs
Publikováno v:
Journal of Applied Physics; Dec2008, Vol. 104 Issue 11, p114513, 6p, 9 Graphs