Benchmarking explanation methods for mental state decoding with deep learning models

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...

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Bibliographic Details
Main Authors: Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:NeuroImage
Subjects:
Neuroimaging
Mental state decoding
Deep learning
Explainable AI
Benchmark
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923002550

Internet

http://www.sciencedirect.com/science/article/pii/S1053811923002550

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