3 papers
eess.SP2026
MPNet: A Robust and Efficient Manifold Pooling Network for Multi-Rhythm EEG Signal Decoding
Guoqing Cai, Kai Zeng, Shoulin Huang +1
Deep Riemannian networks provide a powerful framework for Electroencephalography (EEG) decoding, but their practical applications are severely constrained. Accurately decoding EEG…
cs.HC2026
State-Flow Coordinated Representation for MI-EEG Decoding
Guoqing Cai, Shoulin Huang, Ting Ma
Motor Imagery (MI) Electroencephalography (EEG) signals contain two crucial and complementary types of information: state information, which captures the global context of the task…
quant-ph2023
Quantum feedback control of a two-atom network closed by a semi-infinite waveguide
Haijin Ding, Guofeng Zhang, Mu-Tian Cheng +1
The purpose of this paper is to study the delay-dependent coherent feedback dynamics by focusing on one typical realization, i.e., a two-atom quantum network whose feedback loop is…