100 results for "brain decoding" · page 9 of 10 · ranked by relevance
…This study contains closed-loop electrical stimulation of the brain during encoding…
This multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
…loop electrical stimulation of the brain during encoding. There is no stimulation…
…semi-chronic closed-loop direct brain stimulation and non-invasive closed-loop…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005170-blue…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 subjects performing a 9x8 multi-face character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are formatted according to BIDS standards with HED event annotations for standardized analysis and machine learning applications.
…The goal is to enable keyboard-free text input by decoding typing…
…parameter optimization ## Abstract The decoding of brain signals recorded via, e.g…
BigP3BCI Study G is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is one of 20 studies in the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects total. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
# handwriting: Handwriting Recognition from EMG ## Overview **Dataset**: handwriting - Imagined handwriting from wrist…