Best of Both Worlds' Neuromorphic Computing in 3D Photonic-Electronic Integrated Neural Networks

We propose to pursue Brain-Derived rather than Brain-Inspired neuromorphic computing and exploiting the new direction depicted in Fig. 1. The new 3D Nanoscale Photonic-Electronic neuromorphic computing pursues new material, device, circuit, and system capabilities of co-designed 3D photonic and electronic integrated circuits (3D EPICs) designed for hierarchical leaming. As Fig. 2 illustrates, the proposed 3D nanoscale photonic-electronic integrated circuits for hierarchical neuromorphic computing consisting of photonic neuromorphic computing circuits and electronic/ionic neuromorphic integrated circuits [1]–[3]

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110197
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Best of Both Worlds' Neuromorphic Computing in 3D Photonic-Electronic Integrated Neural Networks

S. J. Ben Yoo
Neural Networks and Reservoir Computing
article

Best of Both Worlds' Neuromorphic Computing in 3D Photonic-Electronic Integrated Neural Networks

S. J. Ben Yoo
article en

Abstract

We propose to pursue Brain-Derived rather than Brain-Inspired neuromorphic computing and exploiting the new direction depicted in Fig. 1. The new 3D Nanoscale Photonic-Electronic neuromorphic computing pursues new material, device, circuit, and system capabilities of co-designed 3D photonic and electronic integrated circuits (3D EPICs) designed for hierarchical leaming. As Fig. 2 illustrates, the proposed 3D nanoscale photonic-electronic integrated circuits for hierarchical neuromorphic computing consisting of photonic neuromorphic computing circuits and electronic/ionic neuromorphic integrated circuits [1]–[3]

University of California, Davis (US)
Openalex Percentile: Top 89%
Neural Networks and Reservoir Computing
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