…The study compares two domain adaptation frameworks—Generic Recentering (unsupervised) and Personally…
…for evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets…
…benchmarking of transfer learning and domain adaptation algorithms for motor imagery classification…
[ 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).
…Similar to ASR but with different generative process - **Domain adaptation**: Cross-user…
A high-density functional near-infrared spectroscopy (fNIRS) dataset recorded during a ball-squeezing motor task at Boston University. The recordings were used to develop and optimize surface-based image reconstruction methods for high-density fNIRS. The dataset is mirrored on NEMAR from OpenNeuro (ds006673).
A functional near-infrared spectroscopy (fNIRS) time-series dataset converted to BIDS format from a MATLAB file containing hemoglobin concentration time series (HbO) from 18 subjects across two sessions, with ICA-based denoising applied. The dataset is a BIDS conversion of an original deposit and includes NIRS recordings and associated metadata.
…brain activity correlated to gait adaptation during split-belt treadmill walking. 30…
A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.