100 results for "subject-independent classification" · page 1 of 10 · ranked by relevance
…Layout ------ Each BIDS run contains clips from one subject and one source…
…The dataset is designed to facilitate cross-subject affective computing research and…
This dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
…and Mørup, M. (2015), Multi-class classification of ICS of EEG. Psychophysiol…
…Layout ------ Each BIDS run contains clips from one subject and one source…
…classification accuracy of 66.2±4.8%. ## Dataset Summary | Property | Value | |---|---| | Subjects…
…neural network capable of subject-independent classification of perceived sentences. We found…
…10.1016/j.clinph.2012.12.050 - **Subjects**: 12 - **Sessions per subject…
…10.1088/1741-2560/9/4/045006 - **Subjects**: 16 - **Sessions per subject…
…10.3389/fnins.2020.591777 - **Subjects**: 18 - **Sessions per subject**: 1 - **Events…