Photonic–Electronic Modulated a-IGZO Synaptic Transistor with High Linearity Conductance Modulation and Energy-Efficient Multimodal Learning

Photonic–Electronic Modulated a-IGZO Synaptic Transistor with High Linearity Conductance Modulation and Energy-Efficient Multimodal Learning

Brain-inspired neuromorphic computing is expected to overcome the von Neumann bottleneck by eliminating the memory wall between processing and memory units. Nevertheless, critical challenges persist in synaptic device implementation, particularly regarding nonlinear/asymmetric conductance modulation...

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Bibliographic Details
Main Authors: Zhidong Hou, Jinrong Shen, Yiming Zhong, Dongping Wu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Micromachines
Subjects:
a-IGZO
synaptic transistor
artificial synapse
high linearity
neuromorphic application
Online Access:https://www.mdpi.com/2072-666X/16/5/517
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