83 results for "pattern recognition" · page 1 of 9 · ranked by relevance
…A large and rich EEG dataset for modeling human visual object recognition…
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.
…these neural mechanisms of object recognition across these rich and daily natural…
…these neural mechanisms of object recognition across these rich and daily natural…
…These recordings enable the investigation of emotion-specific neural signal patterns and…
…the automatic detection of brain patterns, allowing increasingly faster, more reliable and…
…Demographics in `participants.tsv`. ## Tasks | Task | BIDS label | Description | Trials | |------|-----------|-------------|--------| | Pattern Recognition…
…copy-spell 'PATTERN RECOGNITION MACHINE LEARNING' (36 characters). Each character received 5…
…wide recurrence for visual object recognition"** (Link to preprint: https://www.biorxiv…
…82901/nemar.on007353) Human action recognition is a core component of social…