Author

Haitao Yu

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Oct 2026

Brain-inspired recurrent spiking neural networks for multiscale dynamic representation with manifolds.

Understanding how network structure shapes neural population dynamics and representation of external inputs is a key issue in neuroscience. This study proposes a modeling framework for recurrent spiking neural networks (RSNN) and elucidates dynamical computation mechanism of RSNN by linking input dimensionality, networ...

Xiao-Jun Wang, Zai-Dong Lin, Bin Deng et al. · Neuroscience · 0 citations

Aug 2026

Manifold representation learning for Alzheimer's disease detection with EEG-based functional brain connectivity.

Alzheimer's disease (AD) is a common neurodegenerative disease characterized by severe cognitive dysfunctions and brain disorders. The emergence of deep learning methods provides a feasible way to develop effective representations for clinical diagnosis of brain diseases. In this study, we proposed a deep manifold repr...

Haitao Yu, Zaidong Lin, Zhiwen Hu · Neuroscience · 0 citations