ds005059
Paired Associates Learning: Memory for Word Pairs in Cued Recall
iEEG
…encoding, distractor, cued recall. During encoding, 6 pairs of words are presented…
- Participants
- 72
Discover datasets
100 results for "cue reactivity" · page 2 of 10 · ranked by relevance
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- on006367
Memory Reactivation Levels Remain Unaffected by Anticipated Interference
EEG…a cued target (learned) and an irrelevant novel one. Participants memorized the…
- Size
- 27.8 GB
- Updated
- Jun 18, 2026
- ds005692
SpinalExpect_NonInvasive
EEG…In alternating blocks, the time interval between the auditory cue and the…
- Participants
- 30
- ds005691
SpinalExpect_Invasive
iEEG…In alternating blocks, the time interval between the auditory cue and the…
- Participants
- 8
- on004587
IllusionGameEEG_data
BEH EEG…beep' soundclip was played to cue participants to open their eyes. An…
- Size
- 219 GB
- Updated
- Jun 24, 2026
- on002094
Single-pulse open-loop TMS-EEG dataset
EEG[ 1 = Stick Congruent Cue shifts left…
- Citations
- 3
- Size
- 60.9 GB
- Updated
- Jun 22, 2026
- ds006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG…2-UR \| Left Cue | | "52" | Probe Onset event: 3-UR \| Left Cue…
- Participants
- 53
- on003574
Reward biases spontaneous neural reactivation during sleep
ANAT EEG FUNCThis dataset comprises neuroimaging and electrophysiological recordings from 18 participants who engaged in reward-based cognitive tasks during wakefulness followed by sleep monitoring in an MRI scanner. Participants played two games (FACE and MAZE) during 3T fMRI acquisition, with one game designated as rewarded and the other as non-rewarded. Subsequent sleep sessions were recorded with simultaneous 64-channel EEG and fMRI for 1-2 hours, during which participants reached either N2 or N3 sleep stages, followed by a memory test. The dataset enables investigation of how reward biases spontaneous neural reactivation during sleep through multimodal neuroimaging analysis.
- Citations
- 2
- Size
- 17.8 GB
- Updated
- Jun 22, 2026
- on004295
Reward gain and punishment avoidance reversal learning
EEGThis dataset comprises two reversal learning tasks designed to investigate differential neural processing of reward gain and punishment avoidance. Participants performed parallel tasks using distinct reinforcers: monetary reward (gain/non-gain outcomes) and primary threat avoidance (noise burst avoidance/application), with noise intensity individually titrated to match subjective value of monetary rewards. The dataset enables investigation of how the brain differentially encodes appetitive versus aversive learning contingencies.
- Citations
- 20
- Size
- 31.5 GB
- Updated
- Jun 23, 2026