A nap soon after encoding leads to better learning in infancy. However, whether napping plays the same role in preschoolers' learning is unclear. In Experiment 1 (N = 39), 3-year-old habitual and nonhabitual nappers learned novel verbs before a nap or a period of wakefulness and received a generalization test examining word extension to novel actors after 24 hr. Only habitual and nonhabitual nappers who napped after learning generalized 24 hr later. In Experiment 2 (N = 40), children learned the same verbs but were tested within 2-3 min of training. Here, habitual and nonhabitual nappers retained the mappings but did not generalize. The results suggest that naps consolidate weak learning that habitual and nonhabitual nappers would otherwise forget over periods of wakefulness.

https://doi.org/10.23641/asha.5583979.

Nonadjacent dependencies occur over one or more intervening units and require learners to track discontinuous sequential relationships. These discontinuous relationships are present at multiple levels in language (e.g., as seen in morphosyntactic dependencies and at the phonological level in vowel harmony). Experiments suggest that these dependencies are acquired using statistical learning mechanisms and that this learning is also affected by perceptual biases. Artificial and natural language studies have shown that infants are sensitive to these statistical regularities but there appear to be developmental constraints on learning. Developmental investigations have also examined how knowledge and processing of the intervening elements affect learning, and whether categories can be acquired using nonadjacent dependency information. WIREs Cogn Sci 2013, 4:511-522. doi: 10.1002/wcs.1244 CONFLICT OF INTEREST: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website.

Individuals with developmental language impairment can show deficits into adulthood. This suggests that neural networks related to their language do not normalize with time. We examined the ability of 16 adults with and without impaired language to learn individual words in an unfamiliar language. Adults with impaired language were able to segment individual words from running speech, but needed more time to do so than their normal-language peers. ICA analysis of fMRI data indicated that adults with language impairment activate a neural network that is comparable to that of adults with normal language. However, a regional analysis indicated relative hyperactivation of a collection of regions associated with language processing. These results are discussed with reference to the Statistical Learning Framework and the sub-skills thought to relate to word segmentation.

No abstract