Schedule
Cognitive Science 001
Fall 2005

This schedule may be modified both in advance (to reflect anticipated changes in material and schedule) and in retrospect (to reflect what was actually covered each week).  Dates of midterms will not change.

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BLACKBOARD PROBLEMS UPDATE:

We've been informed that the people responsible for Blackboard here at Penn are working to improve its reliability. They also suggest the following approaches for restoring Blackboard access, if you encounter difficulties:
1) Press your browser's "reload" button. If you do not regain access to Blackboard immediately try reloading repeatedly.
2) Close and restart your browser.
We will continue to do everything we can to work around any difficulties that come up. Although Blackboard is the official source for all announcements and course materials, the course website is frequently a good place to look if Blackboard is unavailable.

Introduction to Cognitive Science is now using Blackboard.

	Date	Subject (click for lecture notes)	Instructor	HW Due	Required Readings (also in the bulk pack)	Supplemental readings
1	Th 9/8	Introduction to the course. (.pdf) (.ppt)	Richards,  Ungar			Encyclopedia of Cognitive Science. "What is Cognitive Science"
2	Tu 9/13	What is intelligence? (.ppt)  (Turing)	Ungar		Turing. "Computing machinery and intelligence." Mind 59:433-460. Clark. Mindware. Chapter 1.	Clark. Mindware. Chapter 1.
3	Th 9/15	Kinds of minds (.ppt) (Dennett)	Ungar	pre-quiz	Clark. Mindware.Appendix I Dennett. Kinds of Minds. Chapter 2.	Nagel. "What is it like to be a bat?"  Chalmers. "The Puzzle of Conscious Experience".
4	Tu 9/20	Universal Computing (ppt)	Ungar		Davis. The Universal Computer. Chapter 7	Turing Machines and the Church-Turing Thesis
5	Th 9/22	How do brains work? (.ppt): Real & artificial minds (neural nets)	Ungar	Homework 1 due at 1:30! The assignment and its submission for this and all future homework is via BlackBoard	Kandel et al. Essentials of Neural Science. Chapter 2: "Nerve Cells".  Dawson: Chapter 3. Connectionist models	Rumelhardt et al.: Parallel Distributed Processing. Chapter 1: "The Appeal of Parallel Distributed Processing." Invariant visual representation by single neurons in the human brain, R. Quian Quiroga et. al.
6	Tu 9/27	Probabilistic models of mind --Bayes Rule (ppt)	Ungar		Mitchell. Machine  Learning. pp. 154-159, 177-184 additional pages Conditional Probability pgs 57-71	Bayes' Theorem tutorial
	Wed 9/28	Optional Probability Review		5:00 pm; Room B3 MEYH
7	Th 9/29	Probabilistic models of mind II: Concept Learning (.ppt)	Ungar		example	Tennenbaum and Griffiths. "Bayesian modeling of human concept learning"
8	Tu 10/4	Probabilistic models of mind III: Social cognition  (.ppt) wason test	Richards Ungar		Tversky et al. ,Judgement under uncertainty: heuirstics and biases. (Chapter 10)	Gigerenzer,, "Ecological Intelligence..." in "The evolution of the mind," by Cummins and Allen (Ch. 1)
9	Th 10/6	Perception I (Introduction to visual system) (.ppt)	Richards	HW2 (Deadline extended to 10/11)	Reisenberg, Cognition, Ch 2 (pgs 35-49)	David Marr. Vision. Chapter 2. Reisenberg, Cognition, Ch 2 (pgs 1-34)
10	Tu 10/11	Perception II (Approaches to the study of perception)(.ppt) and illusions	Richards	Homework 2 due at 1:30! The assignment and its submission for this and all future homework is via BlackBoard HW2 Help	Kandel et al. Principles of Neural Science. Chapter 21: "Construction of the Visual Image".	Moore, Introduction to Hearing. TDS Appendix
11	Th 10/13	Perception III (What and where pathways)(.ppt)	Richards		Branich, Cognitive Neuroscience and Neuropsychology, Ch 6 (part 1 and part 2) & 7 (part 1 and part 2)
	Tu 10/18	FALL BREAK
12	Th  10/20	High-level perceptual processing (.ppt)	Richards	Homework 3 due at 1:30! The assignment and its submission for this and all future homework is via BlackBoard (HW3 here.)	Kandel et al. Principles of Neural Science. Chapter 1: "Brain"; Chapter 19: "Cognition and the cortex".	Crick. Chapter 20. "Certain aspects of ... the cerebral cortex".  Sejnowski. Chapter 21. "Open questions"
	Mon 10/24	Review Session	Ungar, Richards	5:00 pm; Room 100 Towne Bldg
13	Tu  10/25	MIDTERM I (review materials)		Midterm solutions
14	Th  10/27	Development and Plasticity(.ppt)	Richards		vonMelchner et al., "visual behavior .. auditory pathway," Nature, 2000 (pdf)	Sharma et al., "induction of .. auditoyr cortex," Nature, 2000 (pdf)
15	Tu 11/1	Learning and memory:  Reinforcement Learning (ppt) (pdf)	Ungar		Lieberman. Chapter 4: "Theories of conditioning and the missing two pages. " Sutton and Barto. Reinforcement Learning.Chapter 1.	Kalat. Chapter 13: "The biology of learning and memory".  Tesauro's TDGammon.
16	Th 11/3	Learning and memory:  Kinds of memory ( .ppt) ( .pdf)	Ungar	report proposal	Encyclopedia of Cognitive Science articles: "Neural basis of Memory"; "Memory consolidation"; "Memory distortions"	Bower. A brief History of Memory Research.  Encyclopedia:  Learning and memory; Working memory
17	Tu 11/8	Executive Function (ppt)	Richards	HW4	Branich, Cognitive Neuroscience and Neuropsychology, Ch 11
18	Th 11/10	Emotion (.ppt)	Richards		Ch 13; Emotion. In Cog. Neuroscience, Gazzaniga et al.Cornelius. (Ch 13 I; Ch. 13, II.).	Emotion and the Human Brain. MITECS. Rolls. 'Précis of "The Brain and Emotion"' Behavioral and Brain Science.
19	Tu 11/15	Voles in Love (ppt)	Ungar		Zoogoer: Addicted to Love	Monkey Love
20	Th 11/17	Why computers are autistic (ppt)	Ungar	report outline and bibliography
21	Tu 11/22	Mind, language and computation (NLP)  I. Computation (.pdf .ppt )	Ungar	HW5	Speech Recognition pgs 568-577	Ullman. A Neurocognitive Perspective on Language. Nature Neuroscience. Fosler-Lussier. Markov models and hidden markov models: a brief tutorial.
	Th 11/24	THANKGIVING
22	Tu 11/29	Mind, language and computation  II. Language (ppt)	Richards		Pinker. Words and Rules. Chapter 1. McClelland & Seidenberg. "Why do kids say goed and brang?"	Bloom. Precis of 'How Children Learn the Meanings of Words'. BBS.
23	Th 12/1	Metaphor  (.ppt)	Ungar			Gallese, Vittorio. A Neuroscientific Grasp of Concepts (2003) & The Inner Sense of Action. (2000)
24	Tu 12/6	Course summary (ppt).	Richards,  Ungar	HW6
	Wed 12/7	Review Session	Richards, Ungar	5:00 pm; room 100 Towne Bldg
25	Th 12/8	MIDTERM II
	Th 12/15	Report drop off Report due Dec 15, 4:00 pm (or earlier)