Generalized neural decoders for transfer learning across participants and recording modalities.
Steven M PetersonZoe Steine-HansonNathan DavisRajesh P N RaoBingni W BruntonPublished in: Journal of neural engineering (2021)
By generalizing to new participants and recording modalities, robustly handling variations in electrode placement, and allowing participant-specific fine-tuning with minimal data, HTNet is applicable across a broader range of neural decoding applications compared to current state-of-the-art decoders.
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