100 results for "speech processing" · page 8 of 10 · ranked by relevance
This dataset comprises intracranial EEG recordings from 106 individuals performing an auditory-naming task, with electrode coordinates provided in MNI-305 space. It supports investigation of the dynamic causal network underlying auditory descriptive naming, as reported by Kanno et al. (2025). The dataset accompanies analysis code for tractography-based network analysis.
…a multimodal resource for studying information processing in the developing brain (EEG…
This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.
…Effect of obesity on arithmetic processing in preteens with high and low…
This dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.
…Rotation-tolerant representations elucidate the time course of high-level object processing…
The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.
[ recordings from a delayed free recall task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words in any order. This preliminary cognitive electrophysiology study served as a predecessor to the later FR1 and CatFR1 datasets.