Bimodal dataset on Inner speech
…The stimuli contain 8 words, selected from 2 different categories (social, numeric…
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "social neuroscience" · page 3 of 10 · ranked by relevance
…The stimuli contain 8 words, selected from 2 different categories (social, numeric…
This dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
FOODEEG is an open dataset comprising electroencephalographic (EEG) and behavioral responses from 117 participants to food images. The dataset includes raw and processed EEG recordings from a food categorization task, along with behavioral data from food go/no-go and paired choice tasks. Participants also provided continuous ratings on food attributes and completed questionnaires assessing dietary styles and eating motivations, with normative ratings collected from an additional 624 online participants.
This multi-session dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults (ages 18-35) performing a sustained attention task (GradCPT) and resting state with online experience sampling. The dataset includes 31-channel cortical EEG (plus 4 carbon wire loop sensors and 1 ECG channel for a total of 36 recorded channels) with carbon wire loop sensors for artifact removal, concurrent fMRI, ECG, behavioral responses, and multi-dimensional experience sampling ratings assessing thought contents and processes. Approximately 1 hour 20 minutes of data were collected per participant per session across two sessions, enabling investigation of neural correlates of spontaneous cognitive processes including mind-wandering and attentional fluctuations. All structural MRI images were defaced for privacy. Note: One session (sub-003_ses-001) contains incomplete data collection with 3 runs instead of the standard 4 runs due to time constraints.
…a reading activity, or a social activity. You can also find the…
The Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
[ and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
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.
…Dataset Compassion Island was a social world implemented in AltspaceVR by tecchnology…