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Found 6 papers, 1 papers with code
Digital twin brain: a bridge between biological intelligence and artificial intelligence
In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities for understanding the complexity of the brain and its emulation by computational systems.
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
In addition, we also find that the quality of the interpretation results is inconsistent for individual samples despite when a method with an overall good performance is used.
Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression
In this paper, we discuss the statistical properties of the $\ell_q$ optimization methods $(0<q\leq 1)$, including the $\ell_q$ minimization method and the $\ell_q$ regularization method, for estimating a sparse parameter from noisy observations in high-dimensional linear regression with either a deterministic or random design.
Attention-based 3D Convolutional Network for Alzheimer’s Disease Diagnosis and Biomarkers Exploration
Modern advancements in deep learning provide a powerful framework for disease classification based on neuroimaging data.
Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics
Disorders of consciousness are a heterogeneous mixture of different diseases or injuries.
Neurons and Cognition
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
Compared with the start-of-the-art CR-DL and DR-DL methods proposed by Merlet et al. and Bilgic et al., espectively, our work offers the following advantages.
