Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial Robustness
Deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However, they are widely seen as uninterpretable “black boxes,” as it can be difficult to discover what input information is used by the DNN in the process, something i...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Organization for Human Brain Mapping
2023-08-01
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| Serier: | Aperture Neuro |
| Online adgang: | https://doi.org/10.52294/001c.85074 |
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