Date
|
Topics
|
Readings
|
Assignments
|
Tue 1/22
|
An introduction to the course: the mind, brain, language and cognition; neurons and other cells
|
R1 Book Preface, Ch 1, 2, 3
|
0:
How you think it works
|
Thu 1/24
|
The brain: Basic structure and function of the brain as a biological entity and a computing device
|
Book Ch 4, 5,
tutorial on neurons and neural firing
|
|
Tue 1/29
|
The brain 2: Neural development, learning, and repair.
|
Book Ch 6,
article on how performing actions is required for understanding
|
1:
Brain facts
|
Thu 1/31
|
Introduction to connectionist modeling; alternative representations
|
Book Ch 3, 9
|
|
Tue 2/5
|
Findings in psychology and psycholinguistics
|
O1
,
Mirror Neurons
Book Ch 7,
article on Embodiment of Cognition
|
2:
Neural Networks software exercises
|
Thu 2/7
|
Experimental Techniques : Imaging, TMS
|
An article on FMRI
,
An article on Diffusion Tensor Imaging
|
|
Tue 2/12
|
PDP and structured connectionist models; learning concepts;
|
Book Ch 9
Article on learning, LTP
|
Quiz
|
Thu 2/14
|
Backpropagation
|
Wikipedia article on backpropagation
,
detailed backpropagation tutorial
|
3:
Backpropagation
exercises
/
Backpropagation
(coding)
|
Tue 2/19
|
The neurophysiology, psychophysics, anthropology, and linguistics of color
|
Book Ch 8,
an NPR report on the study of color words in languages
|
|
Thu 2/21
|
Cognitive Linguistics: categories, prototypes, Image Schemas
|
R4 Ch 3-5, R5 Ch 3, Book Ch 11, 13
|
|
Tue 2/26
|
Cognitive Linguistics/ Connectionist models
|
Book Ch 3, 9
|
|
Thu 2/28
|
Semantic Frames and FrameNet
|
FrameNet
, Book Ch 11
|
4:
Prototypes
/Frames
|
Tue 3/4
|
Regier's model for word learning
|
R6 Book Ch 10, 11, 12
|
|
Thu 3/6
|
Recruitment Learning/Review
|
Book Ch 11
|
5:
Regier
-model exercises
|
Tue 3/11
|
Midterm
|
|
|
Thu 3/13
|
Motor control, simulation, and executing schemas
|
R13,
O2
,
O3
,
O4
Book Ch 11 , 13
|
|
Tue 3/18
|
Bailey's model for learning hand-motion verbs
|
Book Ch 14,
O2
(revisited)
|
6:
Bailey model exercises
/
Model merging (coding)
|
Thu 3/20
|
Reinforcement Learning: Biology
|
Reinforcement Learning: An Introduction (by Sutton and Barto, available online): Ch. 1.1 - 1.5 and 3.1 - 3.3
|
|
Tue 3/25
|
Spring Break
|
|
|
Thu 3/27
|
Spring Break
|
|
|
Tue 4/1
|
Reinforcement Learning II: Algorithms
|
Reinforcement Learning: An Introduction (by Sutton and Barto, available online): Ch. 3.6, 5.1, 6.1, 6.4, 6.5
|
|
Thu 4/3
|
Reinforcement learning III: Algorithms/Applications
|
Computational roles for dopamine in behavioural control by Montague, Hyman, and Cohen
|
|
Tue 4/8
|
Metaphor
|
R4 (Chapters 4 and 5), Book Ch 16, 17
|
7. Reinforcement Learning
|
Thu 4/10
|
Bayes Networks
|
bayes net tutorial
1
and
2
Book Ch 18, 19
|
|
Tue 4/15
|
KARMA: Narayanan model for metaphorical concepts. Understanding news stories.
|
O6
, Book Ch 20
|
|
Thu 4/17
|
Grammar 1
|
R3 Book Ch9, 11,
O7
, Book Ch 21, 22
|
8:
Narayanan model exercises
|
Tue 4/22
|
Grammar 2: Constructions
|
R2, Book Ch 23, 24
|
|
Thu 4/24
|
Models of Language Learning
|
Grammar Induction
, Book Ch 22
|
9:
Language learning exercises
|
Tue 4/29
|
Embodied Construction Grammar
|
O8
,
O9
, Book Ch 23, 24
|
10:
BBS Commnetary
|
Thu 5/1
|
Learning Embodied Constructions
|
Book Ch. 25
|
|
Tue 5/6
|
The "Binding Problem", plus Review for Final
|
O5
(revisited) Book Ch 9 (revisted),
The Binding Problem
|
|
Thu 5/8
|
Final Quiz
|
|
|