FeO<sub>x</sub>-Based Fully Photon Regulated Bidirectional Biomimetic Synapse for In-Memory Computing

Fully photon regulated biomimetic synapse with bidirectional photo response (BPR) has the capability to integrate the light sensing and information processing features. In this letter, we propose an iron oxide (FeO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub>) based biomimetic optoelectronic synapse (BOS), where the photo current is modulated bi-directionally under green and red light stimulations. Spike- intensity, -width, and -interval dependent plasticity behaviors along with multi-level characteristics are emulated by utilizing the photo-excitation and photo-inhibition phenomena of FeO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub>-based BOS. The Vision Transformer (ViT) model is designed and simulated to classify face images of Yale dataset through leveraging the reversibly tuned photo current. With these multifunctional features, the proposed device is a promising candidate for optoelectronic synapse and in-memory computing applications.

Authors

Institutions

Publication Details

Journal
IEEE Electron Device Letters
Published
2025-08-25
DOI
https://doi.org/10.1109/led.2025.3602040
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FeOx-Based Fully Photon Regulated Bidirectional Biomimetic Synapse for In-Memory Computing

Saransh Shrivastava, Stephen Ekaputra Limantoro, Tseung‐Yuen Tseng
2 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
1.46
article

FeOx-Based Fully Photon Regulated Bidirectional Biomimetic Synapse for In-Memory Computing

Saransh Shrivastava, Stephen Ekaputra Limantoro, Tseung‐Yuen Tseng
article en
2 citations

Abstract

Fully photon regulated biomimetic synapse with bidirectional photo response (BPR) has the capability to integrate the light sensing and information processing features. In this letter, we propose an iron oxide (FeO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub>) based biomimetic optoelectronic synapse (BOS), where the photo current is modulated bi-directionally under green and red light stimulations. Spike- intensity, -width, and -interval dependent plasticity behaviors along with multi-level characteristics are emulated by utilizing the photo-excitation and photo-inhibition phenomena of FeO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub>-based BOS. The Vision Transformer (ViT) model is designed and simulated to classify face images of Yale dataset through leveraging the reversibly tuned photo current. With these multifunctional features, the proposed device is a promising candidate for optoelectronic synapse and in-memory computing applications.

IEEE Electron Device LettersVol. 46(10)
National Yang Ming Chiao Tung University (TW)
National Science and Technology Council
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.