May 27, 2023 · We introduce a comprehensive framework for lesion-deficit model comparison, incorporating diverse candidate substrates, forms of substrate interactions, sample ...
Sep 6, 2024 · Lesion-deficit mapping remains the most powerful method for localising function in the human brain. As the highest court of appeal where ...
This work begins the application of deep generative neural network architectures to the task of lesion-deficit inference by formulating it as the estimation ...
Stat.ML Papers on X: "Deep Variational Lesion-Deficit Mapping ...
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May 30, 2023 · Deep Variational Lesion-Deficit Mapping. (arXiv:2305.17478v1 [cs.LG]) https://ift.tt/4YpAGon · 1:18 AM · May 30, 2023.
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Lesion-deficit mapping remains the most powerful method for localising function in the human brain. As the highest court of appeal where competing theories ...
Missing: Variational | Show results with:Variational
We currently do not have robust functional criteria for defining large regions of interest—indeed, we need lesion-deficit mapping for this in the first place— ...
Missing: Variational | Show results with:Variational
Dec 28, 2022 · Cipolotti et al. investigate fluid intelligence in focally lesioned patients using an array of lesion-deficit models.
Missing: Variational | Show results with:Variational
Lesion-mapping analyses aim to identify neural regions that, when damaged, cause a specific functional deficit (e.g., worse performance on a relevant test of ...
Missing: Variational | Show results with:Variational
Were these functional divisions secure, we would not need lesion-deficit mapping, but all that is required from the simulated substrates is broad similarity ...
Mar 23, 2020 · Here we develop lesion-deficit mapping with metabolic lesions—discrete areas of hypometabolism typically seen on interictal 18F- ...
Missing: Variational | Show results with:Variational