Chapter 5 endnote 19, from Lisa Feldman Barrett.
Some context is:
The newborn brain has the ability to learn patterns, a process called statistical learning.
Statistical learning occurs when statistical regularities are extracted from repeated patterns. In human learning, these patterns include sensory inputs, both from the external context and from the internal milieu of the body. Recent discussions assume that the human brain treats learning as rational statistical inference using Bayesian probablility theory.
Notes on the Notes
- Aslin, Richard N., and Elissa L. Newport. 2012. "Statistical learning from acquiring specific items to forming general rules." Current Directions in Psychological Science 21 (3): 170-176.
- Turk-Browne, N.B. 2012. "Statistical learning and its consequences." In The Influence of Attention, Learning, and Motivation on Visual Search, edited by M.D. Dodd and J.H. Flowers, pp. 117–146, New York: Springer.
- Frost, Ram, Blair C. Armstrong, Noam Siegelman, and Morten H. Christiansen. 2015. "Domain generality versus modality specificity: the paradox of statistical learning." Trends in Cognitive Sciences 19 (3): 117-125.
- For example, Goujon, Annabelle, André Didierjean, and Simon Thorpe. 2015. "Investigating implicit statistical learning mechanisms through contextual cueing." Trends in Cognitive Sciences 19 (9): 524-533.
- Xu, Fei, and Tamar Kushnir. 2013. "Infants are rational constructivist learners." Current Directions in Psychological Science 22 (1): 28-32.
- Chater, Nick, and Mike Oaksford. 2008. The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press, USA.
- Tenenbaum, Joshua B., Charles Kemp, Thomas L. Griffiths, and Noah D. Goodman. 2011. "How to grow a mind: Statistics, structure, and abstraction." Science 331 (6022): 1279-1285.