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Updated: Jun 5, 2025

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

Photonic multiplexing techniques for neuromorphic computing.

Yunping Bai¹, Xingyuan Xu¹, Mengxi Tan²

¹State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

Optical neural networks (ONNs) leverage photonic integration for high-speed computing. This review explores multiplexing techniques in ONNs, highlighting future technology needs for enhanced performance.

Keywords:

integrated optics optical computing operation optical neural network photonic multiplexing

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Area of Science:

Optoelectronics and Photonics
Artificial Intelligence and Machine Learning
Computer Science and Engineering

Background:

Rapid advancements in artificial neural networks and photonic integration are driving innovation in optical computing.
Optical neural networks (ONNs) offer potential for high parallelism and data throughput by utilizing time, wavelength, and space dimensions.

Purpose of the Study:

To review recent progress in optical neural networks (ONNs) employing various photonic multiplexing strategies.
To provide an outlook on critical technologies required for the advancement of photonic multiplexing techniques in ONNs.

Main Methods:

Exploration of photonic multiplexing techniques, including time, wavelength, and space-domain approaches.
Analysis of how these multiplexing methods enable large-scale interconnectivity and linear computing functions in ONNs.

Main Results:

Demonstration of ONNs achieving high parallelism and data throughput through effective photonic multiplexing.
Identification of diverse photonic multiplexing strategies enabling advanced ONN architectures.

Conclusions:

Photonic multiplexing is a key enabler for high-performance optical neural networks.
Further development in hybrid-multiplexing techniques is crucial for the future of ONN technology.