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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Dias, L. M. S. , Bastos, A. R. , Alves, T., Towe, E., Ferreira, R. A. S. & André, P. S. B. (2025). Advancing optoelectronic reservoir computing: Enhancing performance through ultrafast neuromorphic hardware technologies. Optics and Laser Technology. 192, Part F
Exportar Referência (IEEE) 
L. M. Dias et al.,  "Advancing optoelectronic reservoir computing: Enhancing performance through ultrafast neuromorphic hardware technologies", in Optics and Laser Technology, vol. 192, Part F, 2025
Exportar BibTeX 
@article{dias2025_1777260963069,
	author = "Dias, L. M. S.  and Bastos, A. R.  and Alves, T. and Towe, E. and Ferreira, R. A. S. and André, P. S. B.",
	title = "Advancing optoelectronic reservoir computing: Enhancing performance through ultrafast neuromorphic hardware technologies",
	journal = "Optics and Laser Technology",
	year = "2025",
	volume = "192, Part F",
	number = "",
	doi = "10.1016/j.optlastec.2025.114088",
	url = "https://www.sciencedirect.com/journal/optics-and-laser-technology"
}
Exportar RIS 
TY  - JOUR
TI  - Advancing optoelectronic reservoir computing: Enhancing performance through ultrafast neuromorphic hardware technologies
T2  - Optics and Laser Technology
VL  - 192, Part F
AU  - Dias, L. M. S. 
AU  - Bastos, A. R. 
AU  - Alves, T.
AU  - Towe, E.
AU  - Ferreira, R. A. S.
AU  - André, P. S. B.
PY  - 2025
SN  - 0030-3992
DO  - 10.1016/j.optlastec.2025.114088
UR  - https://www.sciencedirect.com/journal/optics-and-laser-technology
AB  - Reservoir computing is a neuromorphic architecture based on artificial neural networks. It has gathered significant attention due to its simplicity and efficiency in processing complex sequential data for real-world tasks. We propose an advanced optoelectronic reservoir computing system that uses a single nonlinear node comprised of a Mach-Zehnder interferometer, an optical delay line, and several high-bandwidth integrated optoelectronic components. This system shows efficient performance on benchmark tasks such as signal recognition with an accuracy of 100%, nonlinear channel equalization for generating reconstructed signals with symbol error rates of 10−55, and time-series predictions that reach normalized mean square errors in the order of 10−2.
ER  -