Bayesian inference, the statistical brain and “How babies think”

A fascinating article by Alison Gopnik

http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDMQFjAEahUKEwio2Om-r9rGAhVFaxQKHe9FDDY&url=http%3A%2F%2Fwww.alisongopnik.com%2Fpapers_alison%2Fsciam-gopnik.pdf&ei=v96kVej8EcXWUe-LsbAD&usg=AFQjCNHyRLFEd2S2izvVkHMmYg5Q0r2TEw&sig2=P-mZhampNJI1eocKFxjGZQ&bvm=bv.97653015,d.d24 [Link]

See also the very clear lectures from the “College de France” by Stanislas Dehaene

http://www.college-de-france.fr/site/en-stanislas-dehaene/course-2011-2012.htm [Link]

And the inspiring TED Talk given by Alison Gopnik

http://www.ted.com/talks/alison_gopnik_what_do_babies_think?language=en [Link]

See also our page on statistical inverse problems (Jack Hale). In future projects, we would like to explore Bayesian learning algorithms for model selection and model learning.

— Stephane Bordas