on003509
EEG: Simon Conflict in Parkinson's
EEG
…task with cost of conflict reinforcement manipulation. 28 Parkinson patients and 28…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 1
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Reinforcement Learning" · page 3 of 10 · ranked by relevance
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- on007114
SUBEMOcondEEG1
BEH EEG…The fear conditioning was conducted with a 50% partial reinforcement. Thirty-two…
- Participants
- 28
- Channels
- 68 (10-10)
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000168
BNCI 2015-013 Error-Related Potentials dataset
EEG…error-related potentials, ErrP, brain-computer interface, reinforcement learning, monitoring, error detection…
- Participants
- 6
- Channels
- 64 (10-10)
- Citations
- 83
- HED
- v8.4.0
- Size
- 5.21 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006446
Cueing the future to reduce temporal discounting
EEGAn EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003458
EEG: Three armed bandit gambling task
EEG[
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006761
Neural decoding of competitive decision-making in Rock-Paper-Scissors
EEGThis dataset contains 64-channel EEG recordings from 62 participants (31 pairs) who played a competitive, computerised version of the Rock-Paper-Scissors game across 480 games. The study investigates the neural correlates of competitive decision-making during real-time social interaction. This dataset supports research on neural decoding of strategic choices in a dyadic competitive context.
- Participants
- 31
- Channels
- 64
- Citations
- 6
- Size
- 78.0 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006839
EEG recordings during sham neurofeedback in virtual reality
EEG…Positive feedback (S##_p.cnt) - sham feedback with a reinforcement valence. Negative…
- Participants
- 36
- Channels
- 29 (10-10)
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- 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.
- Participants
- 18
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005079
The Effects of Directed Therapeutic Intent on Live and Damaged Cells
BEH EEGThis dataset presents a case study examining the physiological effects of directed therapeutic intent, as practiced by a self-identified energy medicine practitioner, on live versus damaged (irradiated) cell cultures. Using a double-blind, randomized design, the practitioner underwent 60 sessions total (40 with live cells, 10 with medium only, and 10 with dead/x-rayed cells), each structured into baseline, treatment, and control segments while physiological recordings were obtained. The study aimed to investigate potential correlations between practitioner physiology and cellular outcomes under controlled conditions.
- Participants
- 1
- Channels
- 65 (10-10)
- Size
- 1.68 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 1
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026