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Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process

Diffusion processes are ubiquitous. In human brains, the membrane potential of neurons is affected by stochastic noise1-3, which can be described by the Langevin equation in neuro field theory (Fig. 1a). Inspired by Langevin dynamics, denoising diffusion probabilistic models (DDPM, or diffusion model) were proposed and have become one of the major breakthroughs in deep learning over the last few years.

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Cite this as

Yang Cheng, Qingyuan Shu, Albert Lee, Haoran He, Ivy Zhu, Haris Suhail, Minzhang Chen, Renhe Chen, Zirui Wang, Hantao Zhang, Chih-Yao Wang, Shan-Yi Yang, Yu-Chen Hsin, Cheng-Yi Shih, Hsin-Han Lee, Ran Cheng, Sudhakar Pamarti, Xufeng Kou, Kang L. Wang (2024). Dataset: Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process. https://doi.org/10.57702/0kdbv297

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2407.12261
Author Yang Cheng
More Authors
Qingyuan Shu
Albert Lee
Haoran He
Ivy Zhu
Haris Suhail
Minzhang Chen
Renhe Chen
Zirui Wang
Hantao Zhang
Chih-Yao Wang
Shan-Yi Yang
Yu-Chen Hsin
Cheng-Yi Shih
Hsin-Han Lee
Ran Cheng
Sudhakar Pamarti
Xufeng Kou
Kang L. Wang