Article

Interpretable brain decoding from sensations to cognition to action: graph neural networks reveal the representational hierarchy of human cognition

2022-09-30

Abstract excerpt

Inter-subject modeling of cognitive processes has been a challenging task due to large individual variability in brain structure and function. Graph neural networks (GNNs) provide a potential way to project subject-specific neural responses onto a common representational space by effectively combining local and distributed brain activity through connectome-based constraints. Here we provide in-depth interpretation...

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Literature Corpus work: 31394f84-abf6-54a9-909f-e5f6169aef46
DOI: 10.1101/2022.09.30.510241

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