Hardware-Algorithm Co-Optimization of Weight-Update Protocols in Oxide-Based Synaptic Transistor Arrays for Neuromorphic Systems.

Yixin Cao, Jingsong Xia, Xiangyi Ding, Xin Wang, Jin Liu, Canhua Xu

Abstract read

In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yixin CaoShaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China.

Jingsong XiaDepartment of Basic Medical Sciences, Fourth Military Medical University, Xi'an 710032, China.

Xiangyi DingDepartment of Basic Medical Sciences, Fourth Military Medical University, Xi'an 710032, China.

Xin WangDepartment of Basic Medical Sciences, Fourth Military Medical University, Xi'an 710032, China.

Jin LiuShaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China.

Canhua XuShaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China.

Funding

Air Force Medical University 2024JC050National Natural Science Foundation of China 62404252

6 · The paper itself

Abstract

The transition from single-device characterization to array-level simulation remains a critical challenge in the development of three-terminal synaptic transistors for neuromorphic computing, as most existing simulation studies either extract parameters from a single representative device and apply them uniformly, or rely on weight-update strategies originally designed for two-terminal memristors. Here, we establish an experimentally calibrated behavioral simulation framework based on differential conductance-pair mapping (W = G

Indexed as

differential conductance-pair mappinghardware–algorithm co-designneuromorphic computingsynaptic transistor arrayweight-update optimization

Identifiers

PMID42796168

DOI10.3390/mi17091049

PMCPMC13609108

What OpenQuestion holds

Textmetadata

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.