Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Chen, ZiJiao"'
We introduce Scaffold Prompt Tuning (ScaPT), a novel prompt-based framework for adapting large-scale functional magnetic resonance imaging (fMRI) pre-trained models to downstream tasks, with high parameter efficiency and improved performance compared
Externí odkaz:
http://arxiv.org/abs/2408.10567
In the pursuit to understand the intricacies of human brain's visual processing, reconstructing dynamic visual experiences from brain activities emerges as a challenging yet fascinating endeavor. While recent advancements have achieved success in rec
Externí odkaz:
http://arxiv.org/abs/2402.01590
Autor:
Oota, Subba Reddy, Chen, Zijiao, Gupta, Manish, Bapi, Raju S., Jobard, Gael, Alexandre, Frederic, Hinaut, Xavier
Can we obtain insights about the brain using AI models? How is the information in deep learning models related to brain recordings? Can we improve AI models with the help of brain recordings? Such questions can be tackled by studying brain recordings
Externí odkaz:
http://arxiv.org/abs/2307.10246
Autor:
Sun, Jingyuan, Li, Mingxiao, Chen, Zijiao, Zhang, Yunhao, Wang, Shaonan, Moens, Marie-Francine
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machine learning, promising advancements in understanding human visual perce
Externí odkaz:
http://arxiv.org/abs/2305.17214
Reconstructing human vision from brain activities has been an appealing task that helps to understand our cognitive process. Even though recent research has seen great success in reconstructing static images from non-invasive brain recordings, work o
Externí odkaz:
http://arxiv.org/abs/2305.11675
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Decoding visual stimuli from brain recordings aims to deepen our understanding of the human visual system and build a solid foundation for bridging human and computer vision through the Brain-Computer Interface. However, reconstructing high-quality i
Externí odkaz:
http://arxiv.org/abs/2211.06956
Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the widely used
Externí odkaz:
http://arxiv.org/abs/2201.10083
With recently successful applications of deep learning in computer vision and general signal processing, deep learning has shown many unique advantages in medical signal processing. However, data labelling quality has become one of the most significa
Externí odkaz:
http://arxiv.org/abs/2201.10061
Publikováno v:
In Ceramics International 15 December 2020 46(18) Part A:29244-29248
Autor:
Mou, Xinyu, He, Cuilin, Tan, Liwei, Yu, Junjie, Liang, Huadong, Zhang, Jianyu, Tian, Yan, Yang, Yu-Fang, Xu, Ting, Wang, Qing, Cao, Miao, Chen, Zijiao, Hu, Chuan-Peng, Wang, Xindi, Liu, Quanying, Wu, Haiyan
Publikováno v:
Scientific Data; 5/29/2024, Vol. 11 Issue 1, p1-13, 13p