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Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Yu Qi, Bin Liu, Yueming Wang, Gang Pan
Brain-computer interfaces (BCIs) have enabled prosthetic device control by decoding motor movements from neural activities.
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
Wenhao Yang, Xiang Li, Zhihua Zhang
Even if the optimal policy is obtained precisely, it is often the case the optimal policy is deterministic.
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Neural Information Processing Systems http://nips.cc/
Hyper-HMM: aligning human brains and semantic features in a common latent event space
Here, we propose a hybrid model, the Hyper-HMM, that simultaneously aligns both temporal and spatial features across brains.