Single-trial modeling separates multiple overlapping prediction errors during reward processing in human EEG
Hoy et al. combine behavioral modeling and single-trial EEG regression to disentangle sequential prediction errors in an interval timing task, which dissociated outcome valence, magnitude, and probability in human participants. Their study reconciles debates on the sequence of components representin...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/0713e9cfd1ef4008b6b90bdcaf857f8b |
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| Summary: | Hoy et al. combine behavioral modeling and single-trial EEG regression to disentangle sequential prediction errors in an interval timing task, which dissociated outcome valence, magnitude, and probability in human participants. Their study reconciles debates on the sequence of components representing reward and salience prediction errors in the human EEG. |
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