Impact of Double-Gate Structure on Temporal and Reinforced Synaptic Weight Updates in Electrolytic-Gated Synapse Transistors

The impact of double-gate (DG) structure on synaptic weight updates was investigated in electrolytic-gated synapse transistors. DG devices showed reinforced conductance modulation in response to the application of different bottom-gate biases. Furthermore, the introduction of an additional gate provided access to an additional presynaptic input, allowing superlinear integration of synaptic weights for more efficient update processes.

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Publication Details

Journal
IEEE Electron Device Letters
Published
2025-09-05
DOI
https://doi.org/10.1109/led.2025.3606513
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of Double-Gate Structure on Temporal and Reinforced Synaptic Weight Updates in Electrolytic-Gated Synapse Transistors

Sung‐Min Yoon, Hyun‐Sik Woo
IEEE Electron Device Letters
Advanced Memory and Neural Computing
article

Impact of Double-Gate Structure on Temporal and Reinforced Synaptic Weight Updates in Electrolytic-Gated Synapse Transistors

Sung‐Min Yoon, Hyun‐Sik Woo
article en

Abstract

The impact of double-gate (DG) structure on synaptic weight updates was investigated in electrolytic-gated synapse transistors. DG devices showed reinforced conductance modulation in response to the application of different bottom-gate biases. Furthermore, the introduction of an additional gate provided access to an additional presynaptic input, allowing superlinear integration of synaptic weights for more efficient update processes.

IEEE Electron Device LettersVol. 46(11)
Kyung Hee University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 77%
Advanced Memory and Neural Computing
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