A Low Power Integrate-and-Fire Neuron Circuit Using an a-IGZO-based Thin-Film Transistor with an Inverter Transition Point Programming Method

This work proposes an Integrate-and-fire (I&F) neuron circuit using amorphous indium-gallium-zinc oxide (a-IGZO) thin-film transistors (TFTs) with low power consumption and programmable inverter transition point. The proposed neuron circuit can reduce the power consumption of the neuron circuit by limiting the short-circuit current. Moreover, the neuron circuit has the advantage of extending the refractory period. The operation of the proposed neuron circuit is verified through HSPICE. The simulation results show that the circuit performs as a low-power I&F model during integration and spiking.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043666
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Low Power Integrate-and-Fire Neuron Circuit Using an a-IGZO-based Thin-Film Transistor with an Inverter Transition Point Programming Method

Junhyeong Park, Yumin Yun, Chanjin Park, Sooyeon Lee
Advanced Memory and Neural Computing
article

A Low Power Integrate-and-Fire Neuron Circuit Using an a-IGZO-based Thin-Film Transistor with an Inverter Transition Point Programming Method

Junhyeong Park, Yumin Yun, Chanjin Park, Sooyeon Lee
article en

Abstract

This work proposes an Integrate-and-fire (I&F) neuron circuit using amorphous indium-gallium-zinc oxide (a-IGZO) thin-film transistors (TFTs) with low power consumption and programmable inverter transition point. The proposed neuron circuit can reduce the power consumption of the neuron circuit by limiting the short-circuit current. Moreover, the neuron circuit has the advantage of extending the refractory period. The operation of the proposed neuron circuit is verified through HSPICE. The simulation results show that the circuit performs as a low-power I&F model during integration and spiking.

Seoul National University (KR)
National Research Foundation, Basic Research Laboratory
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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