Integrated nano electro-optomechanical spiking neuron
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866917207440621568 |
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| author | Beltramo, Gregorio Horváth, Róbert Beaudoin, Grégoire Sagnes, Isabelle Barbay, Sylvain Braive, Rémy |
| author_facet | Beltramo, Gregorio Horváth, Róbert Beaudoin, Grégoire Sagnes, Isabelle Barbay, Sylvain Braive, Rémy |
| contents | Neuromorphic computing offers a pathway toward energy-efficient processing of data, yet hardware platforms combining nanoscale integration and multimodal functionality remain scarce. Here we demonstrate a gallium-phosphide electro-optomechanical spiking neuron that integrates optical and electromechanical interfaces within a single nanostructure on a silicon photonic chip operating at telecommunication wavelengths (1550 nm) and exploiting a 3 gigahertz-frequency mechanical mode. Our device displays excitable dynamics, generating optical spikes at its output, as in the spiking activity of neurons and cardiac cells and defined by the calibrated all-or-none response to external perturbations. This dynamic is consistent with the saddle-node on invariant circle scenario and associated features are demonstrated including control of excitable threshold, temporal summation and refractory period. Our device compact footprint and its CMOS-compatible platform make it well suited for edge-computing applications requiring low latency and establish a foundation for versatile brain-inspired optomechanical computing and advanced on-chip optical pulse sources. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_11857 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Integrated nano electro-optomechanical spiking neuron Beltramo, Gregorio Horváth, Róbert Beaudoin, Grégoire Sagnes, Isabelle Barbay, Sylvain Braive, Rémy Optics Applied Physics Classical Physics Neuromorphic computing offers a pathway toward energy-efficient processing of data, yet hardware platforms combining nanoscale integration and multimodal functionality remain scarce. Here we demonstrate a gallium-phosphide electro-optomechanical spiking neuron that integrates optical and electromechanical interfaces within a single nanostructure on a silicon photonic chip operating at telecommunication wavelengths (1550 nm) and exploiting a 3 gigahertz-frequency mechanical mode. Our device displays excitable dynamics, generating optical spikes at its output, as in the spiking activity of neurons and cardiac cells and defined by the calibrated all-or-none response to external perturbations. This dynamic is consistent with the saddle-node on invariant circle scenario and associated features are demonstrated including control of excitable threshold, temporal summation and refractory period. Our device compact footprint and its CMOS-compatible platform make it well suited for edge-computing applications requiring low latency and establish a foundation for versatile brain-inspired optomechanical computing and advanced on-chip optical pulse sources. |
| title | Integrated nano electro-optomechanical spiking neuron |
| topic | Optics Applied Physics Classical Physics |
| url | https://arxiv.org/abs/2601.11857 |