The Time-Course of Food Representation in the Human Brain
[. Neural decoding of competitive decision-making in…
…A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding…
This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
…challenges existing assumptions about the neural correlates of recognition memory, raising the…
…Three behavioural tasks and neural measurements (EEG) using these stimuli. - Spontaneous dissimilarity…
[, the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.
…Identification of perceived sentences using deep neural networks in EEG. Journal of…
…separate out predictive neural activity from sensory evoked neural activity. The study…