Topics in Cognitive Modelling

Lectures 2015-2016

This schedule is subject to change. Lecture slides will generally be posted before class each day. See the readings for full paper references.
Except where noted, the readings for the lectures do not require paper responses, but are suggested for you to better understand the lectures and related material.

After the lectures (excluding the final overview lecture), there will be student presentations, with topics given below once they have been selected and assigned.
Typed responses to the readings should be turned in during class. See the readings for the readings related to each topic.

WeekNo.DateClass type Topic SlidesReading
1 1 12/01/16LectureIntroduction 1-up, 6-up None
1 2 15/01/16LectureNativism, Empiricism, Representation 1-up, 6-up Spelke (1994), Elman et al. (1996)
2 3 19/01/16LectureNeural Networks 1-up, 6-up Jain et al. (1996)
2 3 22/01/16LectureAbout student presentations;Bayesian Modelling 1-up, 6-up;1-up, 6-up Griffiths and Yuille (2006), Lecture notes from CCS
3 4 26/01/16LectureExample paper presentation (requires response!) 1-up, 6-up Segmentation
3 5 29/01/16LectureComparing models 1-up,6-up
4 6 2/2/16Student presentation --
4 7 5/2/16Student presentation --
5 8 9/2/16Student presentation --
5 912/2/16Student presentation--
---- 16/2/16Innovative learning week -- no classNoneNone
----19/2/16Innovative learning week -- no classNoneNone
6 10 23/2/16Student presentation--
6 11 26/2/16Student presentation--
7 12 1/3/16Student presentation--
713 4/3/16Student presentation--
814 8/3/16Student presentation--
815 11/3/16Student presentation--
916 15/3/16Student presentation--
917 18/3/16Student presentation--
10 1822/03/16LectureSynthetic overview of the course 1-up, 6-up

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