100 results for "model interpretability" · page 1 of 10 · ranked by relevance
…MEG data for the paper "Model-based aversive learning in humans is…
…A large and rich EEG dataset for modeling human visual object recognition…
…We introduce the “Podcast” electrocorticography (ECoG) dataset for modeling neural activity supporting…
…the collection, synchronization, and baseline modeling of this data will be available…
[ viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…machine interface, brain-computer interface, model interpretability, brain mapping ## Abstract Deep learning…
…However, previous evidence supports two seemingly contradictory models of how a predictive…
…and the boundary element model (=conductor model) that lives in `freesurfer/subjects…
This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.