Visual statistical learning in infancy: evidence for a domain general learning mechanism.

By N. Kirkham, Jonathan A. Slemmer, Scott P. Johnson. Cognition, 2002

983 citations recorded by the source corpus.

Subfields: Cultural Studies, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/6149aff340f82d20499b8910862388df984f1c35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cultural Studies

1. Alison Gopnik
2. Henry Wellman
3. Elissa L. Newport
4. Pierre Perruchet
5. Patricia K. Kuhl
6. Richard N. Aslin
7. Matthew Botvinick
8. S. Pacton

In Developmental and Educational Psychology

1. Alison Gopnik
2. Elissa L. Newport
3. Nicholas B. Turk-Browne
4. Richard N. Aslin
5. Patricia K. Kuhl
6. Henry Wellman
7. Matthew Botvinick
8. Kenneth A. Norman

Citations in the corpus

• Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory (2012, positive): “Instead, children might be able to learn new causal structure from patterns of probability.”
• Statistical learning: From acquiring specific items to forming general rules (2012, positive): “Kirkham, Slemmer, and Johnson (2002) reported that after exposure to a temporal sequence of visual shapes, infants as young as 2 months of age could discriminate between familiar and novel sequences of shapes.”
• Brain Mechanisms in Early Language Acquisition (2010, background): “Statistical learning has been shown in nonhuman animals (Hauser et al., 2001), and in humans for stimuli outside the realm of speech, operating for musical and visual patterns in the same way as speech (Fiser and Aslin, 2002; Kirkham et al., 2002; Saffran et al., 1999).”