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Neuroenhancements in the Military: A Mixed-Method Pilot Study on Attitudes of Staff Officers to Ethics and Rules
(2022-02)
Utilising science and technology to maximize human performance is often an essential feature of military activity. This can often be focused on mission success rather than just the welfare of the individuals involved. This ...
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 ...
Clinical Prompt Learning with Frozen Language Models
(2022-05)
Prompt learning is a new paradigm in the Natural Language Processing (NLP)
field which has shown impressive performance on a number of natural language
tasks with common benchmarking text datasets in full, few-shot, and ...
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, ...