4 papers
CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
Sibo Zhang, Rui Jing, Liangfu Lv +2
Reinforcement learning (RL) has achieved notable performance in high-dimensional sequential decision-making tasks, yet remains limited by low sample efficiency, sensitivity to nois…
Differential Dynamic Causal Nets: Model Construction, Identification and Group Comparisons
Kang You, Gary Green, Jian Zhang
Pathophysiolpgical modelling of brain systems from microscale to macroscale remains difficult in group comparisons partly because of the infeasibility of modelling the interactions…
Bayesian Inference General Procedures for A Single-subject Test Study
Jie Li, Gary Green, Sarah J. A. Carr +2
Abnormality detection in identifying a single-subject which deviates from the majority of a control group dataset is a fundamental problem. Typically, the control group is characte…
Detecting Mild Traumatic Brain Injury with MEG Scan Data: One-vs-K-Sample Tests
Jian Zhang, Gary Green
Magnetoencephalography (MEG) scanner has been shown to be more accurate than other medical devices in detecting mild traumatic brain injury (mTBI). However, MEG scan data in certai…