An experimental demonstration of neuromorphic sensing of chemical species using electro-optical reservoir computing

Anufriev, Gleb; Furniss, David; Farries, Mark C.; Seddon, Angela B.; Phang, Sendy

Abstract

A chemical discrimination system based on photonic reservoir computing is demonstrated experimentally for the first time. The system is inspired by the way humans perceive and process visual sensory information. The electro-optical reservoir computing system is a photonic analogue of the human nervous system with the read-out layer acting as the ‘brain’, and the sensor that of the human eye. A task-specific optimisation of the system is implemented, and the performance of the system for the discrimination between three chemicals is presented. The results are compared to the previously published numerical simulation (Anufriev et al. in Opt Mater Express 12:1767–1783, 2022, 10.1364/OME.449036). This publication provides a feasibility assessment and a demonstration of a practical realisation of photonic reservoir computing for a new neuromorphic sensing system - the next generation sensor with a built-in ‘intelligence’ which can be trained to ‘understand’ and to make a real time sensing decision based on the training data.

Citation

Anufriev, G., Furniss, D., Farries, M. C., Seddon, A. B., & Phang, S. (2024). An experimental demonstration of neuromorphic sensing of chemical species using electro-optical reservoir computing. Scientific Reports, 14(1), Article 27915. https://doi.org/10.1038/s41598-024-79395-y

• Journal Article Type: Article
• Acceptance Date: Nov 8, 2024
• Online Publication Date: Nov 13, 2024
• Publication Date: Nov 13, 2024
• Deposit Date: Nov 14, 2024
• Publicly Available Date: Nov 15, 2024
• Journal: Scientific Reports
• Electronic ISSN: 2045-2322
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Article Number: 27915
• DOI: https://doi.org/10.1038/s41598-024-79395-y
• Public URL: https://nottingham-repository.worktribe.com/output/41899379
• Publisher URL: https://www.nature.com/articles/s41598-024-79395-y#Ack1
• Additional Information: Received: 22 August 2024; Accepted: 8 November 2024; First Online: 13 November 2024; : ; : The authors declare no competing interests.