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Ben-Ting Tang

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#machine learning Preprint Sep 2026

Pretraining for Sample-Efficient Neural Interfaces

This work proposes MAPA, an otherwise vanilla masked autoencoder with two spatial encodings, an anatomical region embedding and a relative positional encoding that together enable it to learn neural representations that transfer to unseen subjects and across various tasks.

Ben-Ting Tang, Z. Spalding, G. Cogan · 0 citations