Generalizing Brain Decoding Across Subjects with Deep Learning

@article{Csaky2022GeneralizingBD,
  title={Generalizing Brain Decoding Across Subjects with Deep Learning},
  author={Richard Csaky and Mats W. J. van Es and Oiwi Parker Jones and Mark W. Woolrich},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.14102}
}
Decoding experimental variables from brain imaging data is gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is typically subject-specific and does not generalise well over subjects. Here, we investigate ways to achieve cross-subject decoding. We used magnetoencephalography (MEG) data where 15 subjects viewed 118 different images, with 30 examples per image. Training on the entire 1s window following the presentation of each… 

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