Counterfactual Explanation of Brain Activity Classifiers Using Image-To-Image Transfer by Generative Adversarial Network

Counterfactual Explanation of Brain Activity Classifiers Using Image-To-Image Transfer by Generative Adversarial Network

Deep neural networks (DNNs) can accurately decode task-related information from brain activations. However, because of the non-linearity of DNNs, it is generally difficult to explain how and why they assign certain behavioral tasks to given brain activations, either correctly or incorrectly. One of...

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Bibliographic Details
Main Authors: Teppei Matsui, Masato Taki, Trung Quang Pham, Junichi Chikazoe, Koji Jimura
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroinformatics
Subjects:
fMRI
deep learning
explainable AI
decoding
generative neural network
counterfactual explanation
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2021.802938/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2021.802938/full

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