9 citations · 21 across the 4 of their papers we have counts for
4 papers
Deep Auto-encoder with Neural Response
Xuming Ran, Jie Zhang, Ziyuan Ye +4
Artificial neural network (ANN) is a versatile tool to study the neural representation in the ventral visual stream, and the knowledge in neuroscience in return inspires ANN models…
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
Jie Yuan, Xuming Ran, Keyin Liu +4
Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging. There have been some review…
A novel convolutional neural network model to remove muscle artifacts from EEG
Haoming Zhang, Chen Wei, Mingqi Zhao +2
The recorded electroencephalography (EEG) signals are usually contaminated by many artifacts. In recent years, deep learning models have been used for denoising of electroencephalo…
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning
Quanying Liu, Haiyan Wu, Anqi Liu
We model human decision-making behaviors in a risk-taking task using inverse reinforcement learning (IRL) for the purposes of understanding real human decision making under risk. T…