3D Neuromorphic Hardware with Single Thin‐Film Transistor Synapses Over Single Thin‐Body Transistor Neurons by Monolithic Vertical Integration

3D Neuromorphic Hardware with Single Thin‐Film Transistor Synapses Over Single Thin‐Body Transistor Neurons by Monolithic Vertical Integration

Abstract Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency for artificial intelligence (AI) functions owing to its event‐driven and spatiotemporally sparse operations. However, an artificial neuron and synapse based on complex complementary met...

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Bibliographic Details
Main Authors: Joon‐Kyu Han, Jung‐Woo Lee, Yeeun Kim, Young Bin Kim, Seong‐Yun Yun, Sang‐Won Lee, Ji‐Man Yu, Keon Jae Lee, Hyun Myung, Yang‐Kyu Choi
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Advanced Science
Subjects:
neuromorphic hardware
single thin‐film transistor synapse (1TFT‐synapse)
single transistor neuron (1T‐neuron)
spiking neural network (SNN)
vertical 3D integration
Online Access:https://doi.org/10.1002/advs.202302380

Internet

https://doi.org/10.1002/advs.202302380

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