• Corpus ID: 240419872

Evaluating deep transfer learning for whole-brain cognitive decoding

@article{Thomas2021EvaluatingDT,
  title={Evaluating deep transfer learning for whole-brain cognitive decoding},
  author={Armin W. Thomas and Ulman Lindenberger and Wojciech Samek and Klaus-Robert M{\"u}ller},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.01562}
}
Research in many fields has shown that transfer learning (TL) is well-suited to improve the performance of deep learning (DL) models in datasets with small numbers of samples. This empirical success has triggered interest in the application of TL to cognitive decoding analyses with functional neuroimaging data. Here, we systematically evaluate TL for the application of DL models to the decoding of cognitive states (e.g., viewing images of faces or houses) from whole-brain functional Magnetic… 
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