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The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome
Individuals with a locked-in state live with severe whole-body paralysis that limits their ability to communicate with family and loved ones.
How does artificial intelligence contribute to iEEG research?
Applying advanced AI models to these data carries the potential to further our understanding of many fundamental questions in neuroscience.
Forward Amortized Inference for Likelihood-Free Variational Marginalization
In this paper, we introduce a new form of amortized variational inference by using the forward KL divergence in a joint-contrastive variational loss.
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