Lectures

The lecture schedule is subject to change. Updated slides will generally be posted after class. See the reading list for links to papers.

No. Week Lecturer Topic Reading
1 1 Lucas Introduction F&L ch. 1
2 1 Lucas Basic Model Building F&L ch. 2
3 2 Lucas Parameter Estimation F&L ch. 3
4 2 Lucas Parameters and probabilities F&L ch. 4, F&L ch. 6
5 3 Lucas Parameters and probabilities 2 F&L ch. 6
6 3 Lucas Aggregation and individual differences F&L ch. 5
7 4 Lucas Model comparison F&L ch. 10
8 4 Lucas Model comparison 2 F&L ch. 10, F&L ch. 11
9 5 Lucas A Bayesian model of concept learning Rules and similarity in concept learning (Tenenbaum, 2000)
10 5 Lucas Models in psychology F&L ch. 12
11 6 Matusevych Concepts and Language None
12 6 Frank Language Acquisition Early Cross-Situational Word Learning (M Frank et al., 2009) Tutorial Introduction (Perfors et al. 2011)
13 7 Frank Word Learning Early Cross-Situational Word Learning (M Frank et al., 2009); Tutorial Introduction (Perfors et al. 2011)
14 7 Frank Hierarchical Bayesian Models Tutorial Introduction (Perfors et al. 2011); Learning overhypotheses (Kemp et al., 2007)
15 8 Frank Dirichlets; Learning linguistic structure Dir-Cat derivation; Learnability of Abstract Syntactic Structures (Perfors et al. 2011)
16 8 Frank Representations in the Mental Lexicon OPTIONAL: Explaining human performance- (Mandera et al., 2017)
17 9 Frank Modelling the Mental Lexicon
18 9 Lucas Visual saliency Itti, Koch, and Niebur (1998)
19 10 Lucas Visual context Torralba, Castelhano, Henderson (2006)
20 10 Lucas Visual search Najemnik & Geisler (2005)
21 11 Lucas Object Recognition Ullman et al. (2002)


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