reve-positions

Wrapper to provide electrode positions to use the REVE EEG Foundation Model. - **Developed by:** the BRAIN team and UdeM - **Funded by :** AI@IMT, ANR JCJC ENDIVE, Jean Zay (with project numbers), Alliance Canada and Region Bretagne. REVE (Representation for EEG with Versatile Embeddings) is a pretrained model explicitly designed to generalize across diverse EEG signals. REVE introduces a novel 4D positional encoding scheme that enables it to process signals of arbitrary length and electrode arrangement.

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