Humans parsimoniously represent auditory sequences by pruning and completing the underlying network structure
Successive auditory inputs are rarely independent, their relationships ranging from local transitions between elements to hierarchical and nested representations. In many situations, humans retrieve these dependencies even from limited datasets. However, this learning at multiple scale levels is poo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2023-05-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/86430 |