Benchmarking explanation methods for mental state decoding with deep learning models
Deep learning (DL) models find increasing application in mental state decoding, where researchers seek to understand the mapping between mental states (e.g., experiencing anger or joy) and brain activity by identifying those spatial and temporal features of brain activity that allow to accurately id...
Main Authors: | Armin W. Thomas, Christopher Ré, Russell A. Poldrack |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923002550 |
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