Cueing the future to reduce temporal discounting
…on006446) EEG study of episodic future thinking and delay discounting, to be…
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
…on006446) EEG study of episodic future thinking and delay discounting, to be…
…used for studying spatial and episodic memory (as in the first paper…
…a mental program that predicts future items. We tested this theory by…
…Neurons detect cognitive boundaries to structure episodic memories in humans. Nature Neuroscience…
…technology and fNIRS, in the future. ## Notes - Here a total of 240…
…as creativity, memory, and critical thinking. To assess cognitive activity, participants were…
Human EEG recordings from 20 participants viewing rapid sequences of overlaid oriented grating pairs while detecting a target grating of a specific orientation. Feature-based attention was manipulated by cueing one of two gratings by colour, and temporal expectation was manipulated by making stimulus onset timing predictable or unpredictable. The dataset supports investigation of the time-course of attention effects dissociated from temporal expectation and target-related processes.
…of them start with a thinking block. The first meditation block is…
This dataset contains EEG recordings from 127 young adults (18-30 years) together with retrospective indicators of childhood family socioeconomic status (SES) and adult SES measures, including education, income, food security, and home and neighborhood characteristics. EEG was recorded during ERP CORE tasks or adaptations of them, which target perception, cognition, and action. The dataset also includes an adult ADHD symptoms checklist, so that links between SES, ADHD symptoms, and neural activity can be examined in a socioeconomically diverse sample.
EEG recordings from 127 young adults (18-30 years) collected alongside retrospective objective and subjective measures of childhood family socioeconomic status (SES) and adult SES indicators, including educational attainment, income, food security, and home and neighborhood characteristics. Tasks were taken or adapted from the ERP CORE compendium to capture perception, cognition, and action-related neural activity. The dataset also includes an ADHD-related symptoms checklist, allowing analyses of links between SES, ADHD symptoms, and brain electrophysiology.