English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/128044
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

Stochastic induced dynamics in neuromorphic optoelectronic oscillators

AutorRomeira, Bruno; Avó, Ricardo; Javaloyes, Julien ; Balle, Salvador ; Ironside, Charles N.; Figueiredo, José M.L.
Palabras claveNeuromorphic systems
Optoelectronic oscillators
Resonant tunneling diode
Semiconductor laser
Stochastic dynamics
Excitability
Fecha de publicación6-mar-2014
EditorKluwer Academic Publishers
CitaciónOptical and Quantum Electronics 46(10): 1391-1396 (2014)
Resumen© Springer Science+Business Media New York 2013. We investigate the dynamics of optoelectronic oscillator (OEO) systems based on resonant tunneling diode photodetector (RTD-PD) and laser diode hybrid integrated circuits. We demonstrate that RTD-based OEOs can be noise-activated in either monostable or bistable operating conditions, providing a rich variety of signal outputs—spiking, square pulses, bursting—and behaviours—stochastic and coherence resonances—that are similar to that of biological systems such as neurons. The potential for fully monolithic integration of our OEO confers them a great potential in novel neuromorphic optoelectronic circuits for signal processing tasks including re-timing and re-shaping of pulsed signals exploiting either the monostable or the bistable operating conditions.
Versión del editorhttp://dx.doi.org/10.1007/s11082-014-9905-3
URIhttp://hdl.handle.net/10261/128044
DOI10.1007/s11082-014-9905-3
Identificadoresdoi: 10.1007/s11082-014-9905-3
issn: 1572-817X
Aparece en las colecciones: (IMEDEA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.