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Generalizing Brain Decoding Across Subjects with Deep Learning
(2022-05)
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 ...
The relationship between frequency content and representational dynamics in the decoding of neurophysiological data
(2022-02)
Decoding of high temporal resolution, stimulus-evoked neurophysiological data is
increasingly used to test theories about how the brain processes information. However, a
fundamental relationship between the frequency ...
Examining the Neural Correlates of Error Awareness in a Large fMRI Study
(2022-01)
Goal-directed behaviour is dependent upon the ability to detect errors and implement appropriate post-error adjustments. Accordingly, several studies have explored the neural activity underlying error-monitoring processes, ...