Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Brain activity is driven, in part, by external stimuli and demands, but internal brain states also change over time. Here, the authors use a novel Bayesian algorithm to track dynamic transitions between hidden neural states in human brain activity and to relate brain dynamics with behavior.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-04723-6 |
| Summary: | Brain activity is driven, in part, by external stimuli and demands, but internal brain states also change over time. Here, the authors use a novel Bayesian algorithm to track dynamic transitions between hidden neural states in human brain activity and to relate brain dynamics with behavior. |
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| ISSN: | 2041-1723 |