APPLESEED Example Dataset
…Developmental Cognitive Neuroscience, 101163. APPLESEED code is available to download from https…
- Participants
- 13
- Channels
- 32 (10-10)
- Citations
- 14
- Size
- 10.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "developmental neuroscience" · page 2 of 10 · ranked by relevance
…Developmental Cognitive Neuroscience, 101163. APPLESEED code is available to download from https…
This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.
…For a detailed description see: - Developmental trajectory of transmission speed in the…
This dataset contains EEG recordings from 127 young adults (18-30 years) collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.
This dataset comprises EEG recordings from 127 young adults (18-30 years) collected to investigate links between childhood and adulthood socioeconomic status (SES) and cognitive electrophysiology. EEG tasks were derived from the ERP CORE resource and adapted to capture neural activity related to perception, cognition, and action. The dataset also includes retrospective and current SES indicators, and an ADHD symptoms checklist, enabling investigation of relationships between socioeconomic diversity, ADHD symptoms, and neural activity.
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
…as part of an EEG Workshop by the Student Network for Neuroscience.
This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.
This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.
…www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1329086…