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| Content Provider | Springer Nature Link |
|---|---|
| Author | Meyer, Meredith Baldwin, Dare |
| Copyright Year | 2011 |
| Abstract | Identification of distinct units within a continuous flow of human action is fundamental to action processing. Such segmentation may rest in part on statistical learning. In a series of four experiments, we examined what types of statistics people can use to segment a continuous stream involving many brief, goal-directed action elements. The results of Experiment 1 showed no evidence for sensitivity to conditional probability, whereas Experiment 2 displayed learning based on joint probability. In Experiment 3, we demonstrated that additional exposure to the input failed to engender sensitivity to conditional probability. However, the results of Experiment 4 showed that a subset of adults—namely, those more successful at identifying actions that had been seen more frequently than comparison sequences—were also successful at learning conditional-probability statistics. These experiments help to clarify the mechanisms subserving processing of intentional action, and they highlight important differences from, as well as similarities to, prior studies of statistical learning in other domains, including language. |
| Starting Page | 383 |
| Ending Page | 398 |
| Page Count | 16 |
| File Format | |
| ISSN | 15434494 |
| Journal | Learning & Behavior |
| Volume Number | 39 |
| Issue Number | 4 |
| e-ISSN | 15434508 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-05-06 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Action processing Action segmentation Statistical learning Conditional probability Psychology Neurosciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Experimental and Cognitive Psychology Cognitive Neuroscience Behavioral Neuroscience |
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