on005410
Semantic_conditioning
EEG
…Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
5 results for "Pavlovian conditioning" · ranked by relevance
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- on003753
EEG: Probabilistic Learning with Affective Feedback: Exp #2
EEGThis dataset comprises EEG recordings from 25 college-age participants performing a reinforcement learning task with affective feedback. Collected in 2019 at the University of New Mexico's Clinical Research Center Lab, the data were acquired to investigate the sensitivity of the reward positivity (RewP) component to affective liking during probabilistic learning. This represents Experiment #2 of a study examining neural correlates of reward processing and emotional valuation in decision-making. This is a re-hosted version of OpenNeuro dataset ds003753.
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 4.62 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on007114
SUBEMOcondEEG1
BEH EEG…The task consisted of a fear conditioning paradigm with a Pre-Conditioning…
- Participants
- 28
- Channels
- 68 (10-10)
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003822
EEG: Probabilistic Learning with Affective Feedback: Exp #1
EEGThis EEG dataset comprises recordings from 25 college-age participants performing a reinforcement learning task with affective feedback, collected in 2018 at the Clinical Research Center Laboratory (CRCL) at the University of New Mexico. The study investigates the reward positivity component of the event-related potential and its sensitivity to affective liking during probabilistic learning. The dataset includes raw EEG data, behavioral task parameters, and analysis scripts supporting the published findings in Cognitive, Affective, & Behavioral Neuroscience.
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 5.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEGThis derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.
- Participants
- 28
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026