Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.
ConvDip: A convolutional neural network for better EEG source imaging.Frontiers in Neuroscience, 15: 569918, 2021
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Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.