1. Photonic implementation of artificial synapses in ultrafast laser inscribed waveguides in chalcogenide glass
- Author
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Roberta Ramponi, Shane M. Eaton, Argyro N. Giakoumaki, Cesare Soci, Maria Ramos, Vibhav Bharadwaj, Behrad Gholipour, Belén Sotillo, Universidad de Alicante. Departamento de Física Aplicada, Interdisciplinary Graduate School (IGS), Institute of Catastrophe Risk Management (ICRM), and Centre for Disruptive Photonic Technologies (CDPT)
- Subjects
Engineering ,femtosecond laser writing ,Física de la Materia Condensada ,Physics and Astronomy (miscellaneous) ,integrated optical circuits ,Ultrafast laser ,02 engineering and technology ,Marie curie ,03 medical and health sciences ,Artificial synapses ,030304 developmental biology ,0303 health sciences ,business.industry ,021001 nanoscience & nanotechnology ,Photonic implementation ,Chalcogenide glass ,Electrical and electronic engineering [Engineering] ,Christian ministry ,Glass ,cognitive photonics, integrated optical circuits, femtosecond laser writing ,0210 nano-technology ,business ,Waveguides ,Humanities ,Inscribed figure ,Chalcogenides ,cognitive photonics - Abstract
Simple and direct prototyping methods are ideal for large-scale delivery of cognitive photonic hardware. Here, we choose ultrafast laser writing as a direct fabrication technique to later demonstrate all-optical synaptic-like performance along the laser-written waveguides in a chalcogenide glass. Neuronal communication protocols, such as excitatory and inhibitory responses, temporal summations, and spike-timing-dependent plasticity, are shown in the glass chip. This work manifests the potential for large-scale delivery of fully integrated photonic chips based on cognitive principles by single-step fabrication procedures. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Published version M.R. and C.S. acknowledge support from the Singapore Ministry of Education (Nos. MOE2011-T3-1-005 and MOE2016-T3-1-006) and the Agency for Science, Technology and Research (A STAR, Grant No. A18A7b0058). IFN-CNR is grateful for support from the H2020 ERC project PAIDEIA (GA No. 816313) and H2020 Marie Curie ITN projects LasIonDef (GA No. 956387) and PHOTOTRAIN (GA No. 722591). A.G. is thankful for support from the Lombardy Region Project sPATIALS3 “Miglioramento delle produzioni agroalimentari e tecnologie innovative per un alimentazione piu sana, sicura e sostenibile,” cofunded by POR FESR 2014-2020 Call HUB Ricerca e Innovazione. S.M.E. is thankful for support from the CNR Short Term Mobility grant 2019.
- Published
- 2021