59 results for "speech prosthesis" · page 3 of 6 · ranked by relevance
…3M-CPSEED holds significant implications for speech neurophysiology research, not only facilitating…
…A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG…
Imported from OpenNeuro ds005262
A P300-based brain-computer interface dataset for home appliance control, comprising EEG recordings from 14 healthy subjects performing a visual oddball task with 31-channel recordings at 500 Hz sampling rate. The dataset includes 50 training and 30 testing blocks per subject, with target and non-target stimulus classifications presented via LCD display in an online BCI paradigm.
…silent and perceive speech on 30 Spanish sentences Large Spanish Speech EEG…
This dataset contains EEG recordings from a picture-word interference (PWI) naming study conducted at San Diego State University's NeuroCognition Laboratory. Participants named line drawings of objects preceded by semantically related, identity-related, or unrelated English distractor words, while 32-channel EEG and vocal responses were recorded. The dataset supports investigation of lexical-semantic access and word retrieval processes during picture naming.
…Neocortical and hippocampal theta oscillations track audiovisual integration and replay of speech…
This dataset comprises electroencephalographic recordings from 12 healthy subjects during music listening with and without a passive head-mounted display (PHMD). The study employed a 16-channel EEG system sampling at 512 Hz. A passive head-mounted display is a head-mounted device without integrated electronics, consisting of a smartphone holder. The dataset provides raw, unfiltered EEG data in mat and csv formats, designed to support research on the effects of head-mounted displays and auditory stimuli on brain activity. This is a BIDS-converted derivative of the original Zenodo dataset (10.5281/zenodo.2617084).
An auditory event-related potential dataset from 13 healthy subjects performing an oddball paradigm with two sinusoidal tones (target 1000 Hz, non-target 500 Hz) presented at variable stimulus onset asynchronies (60-600 ms). The dataset comprises 31-channel EEG recordings at 1000 Hz acquired with BrainProducts BrainAmp DC during an online closed-loop brain-computer interface experiment designed to optimize stimulation parameters using Bayesian optimization and random search strategies.
This dataset comprises EEG recordings from a modified Sternberg working memory task designed to dissociate neural mechanisms of verbal information retention from those supporting active manipulation. Participants performed two task types—simple retention and alphabetization—across three memory loads (5, 6, or 7 letters), enabling investigation of temporally distinct oscillatory signatures underlying different working memory processes. Please cite: Pavlov, Y. G., & Kotchoubey, B. (2021). Temporally distinct oscillatory codes of retention and manipulation of verbal working memory. Scientific Reports, 11, 11230. https://doi.org/10.1038/s41598-020-72940-5