…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…
…Cue-based left-hand vs right-hand motor imagery in stroke patients…
…Cross-user, cross-session generalization - **Transfer learning**: Generic models with user-specific…
…2018. “Learning 2-in-1 : Towards Integrated EEG-FMRI-Neurofeedback.” BioRxiv, no…
…Enhanced Online Continuous Brain-Control by Deep Learning-Based EEG Decoding. IEEE…
A motor imagery brain-computer interface EEG dataset from 52 healthy subjects performing left- and right-hand kinesthetic finger movement imagery. Recordings include 64-channel EEG and 4 EMG channels sampled at 512 Hz. They are accompanied by psychological and physiological questionnaires, 3D electrode locations, and non-task-related states. This BIDS derivative was generated with MOABB from the original GigaDB deposit.
…In read-only sessions, there is no classifier-based timing manipulation and…
This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
…encoding model, event responses, spatio-temporal - **Spatial filters**: CCA ## Cross-Validation - **Method…
…wrist - Wrist posture and movement from wrist-based surface electromyography **Task**: 1D…