Statistical learning in infants

摘要

Statistical learning has become the subject of some considerable debate within cognitive psychology. The debate reached particular prominence with the advent of sophisticated computational models of such learning based on neurally inspired notions of spreading activation within highly distributed systems of interacting units, so-called neural networks. One important development in this field was the notion that representations of higher-level structure might "emerge" on the basis of an initial sensitivity to low-level statistical cooccurrence phenomena.