Fig. 2
From: Temporal convolutional transformer for EEG based motor imagery decoding
Feature-extraction pipeline: raw EEG is first processed by a multi-kernel convolutional block to capture diverse temporal scales, then passed through a Transformer encoder with grouped-query attention to model global dependencies, yielding the encoded feature tensor that feeds into the TCN classification head.
