100 results for "temporal scaling" · page 6 of 10 · ranked by relevance
…resonance imaging (fMRI) and the temporal resolution of electroencephalography (EEG), and therefore…
Imported from OpenNeuro ds003801
…discrete emotion categories (PrEmo) and temporal highlight scene selections, providing a more…
A longitudinal EEG dataset from 13 infants recorded at 4, 8, and 12 months of age, comprising 48 recording sessions. The dataset includes test-retest reliability assessments at 4 months (11 infants with complete longitudinal data, 2 infants with reliability data only) and was used to develop and validate APPLESEED, an automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG data. This example dataset accompanies the 2022 APPLESEED pipeline publication in Developmental Cognitive Neuroscience and demonstrates the application of entropy-based EEG analysis methods in early human development. The dataset is part of a larger longitudinal study initially described in Puglia et al. (2020).
…from frontal (LMFG, RMFG) and temporal (LMTG, RMTG) areas of 13 subjects…
Imported from OpenNeuro ds004362
…The goal was to reveal whether temporal expectation influences initial sensory processing…
This dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.
This dataset contains EEG and driving performance data from the Baseline Driving study, part of the BCIT program investigating fatigue-related biomarkers during simulated driving tasks. Subjects performed a 60-minute driving task with EEG recorded at three different sites using varying channel configurations (64 or 256-channel Biosemi systems). The dataset supports research into predictive algorithms for detecting driver fatigue through EEG analysis and objective performance measures.
…encoding and decoding analyses of temporally-resolved brain responses to speech. We…