Highly Reliable Lateral Migration-Based TFT-Type Neuron Device for Spiking Neural Networks

A CMOS-compatible Thin Film Transistor (TFT)-type Center Path neuron device with homeostasis characteristics is proposed. By modifying the charge injection path of the gate insulator stack, the proposed neuron device operates with lateral migration, which was conventionally perceived as a disadvantage in the memory industry. Various measured electrical characteristics of the Center Path device show that directly injected charges from the channel poly-Si to the charge trap Si<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>N<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> with low operational voltage laterally migrate to the Si<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>N<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> layer above the tunneling SiO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> layer. Furthermore, the proposed Center Path device successfully demonstrates the integration with homeostasis functionality observed in biological neurons due to its discrete operational schemes.

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Publication Details

Journal
IEEE Electron Device Letters
Published
2024-08-19
DOI
https://doi.org/10.1109/led.2024.3445970
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42

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article

Highly Reliable Lateral Migration-Based TFT-Type Neuron Device for Spiking Neural Networks

Jae‐Joon Kim, Joon Hwang, Jong‐Ho Bae, Jong‐Ho Lee et al.
2 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
0.42
article

Highly Reliable Lateral Migration-Based TFT-Type Neuron Device for Spiking Neural Networks

Jae‐Joon Kim, Joon Hwang, Jong‐Ho Bae, Jong‐Ho Lee, Minkyu Park
article en
2 citations

Abstract

A CMOS-compatible Thin Film Transistor (TFT)-type Center Path neuron device with homeostasis characteristics is proposed. By modifying the charge injection path of the gate insulator stack, the proposed neuron device operates with lateral migration, which was conventionally perceived as a disadvantage in the memory industry. Various measured electrical characteristics of the Center Path device show that directly injected charges from the channel poly-Si to the charge trap Si<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>N<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> with low operational voltage laterally migrate to the Si<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>N<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> layer above the tunneling SiO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> layer. Furthermore, the proposed Center Path device successfully demonstrates the integration with homeostasis functionality observed in biological neurons due to its discrete operational schemes.

IEEE Electron Device LettersVol. 45(10)
Kookmin University (KR), Seoul National University (KR)
Ministry of Science and ICT, South Korea
Reduced inequalities
Openalex Percentile: Top 39%
Advanced Memory and Neural Computing
0.42
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Highly Reliable Lateral Migration-Based TFT-Type Neuron Device for Spiking Neural Networks — Jae‐Joon Kim, Joon Hwang, et al. · IEEE Electron Device Letters (2024) | TGRS Research Map | TGRS