Schedule
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|
Date
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Subject
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Instructor
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Homework
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Required |
Supplemental Readings
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| Th 9/7 | Introduction to the course (pdf) (ppt) | Richards, Ungar |
Encyclopedia of Cognitive Science. "What is Cognitive Science" | ||
| Tu 9/12 | What is intelligence? (pdf) (ppt) |
Ungar | pre-quiz | Turing "Computing machinery & intelligence" Mind 59:433-460 | Clark Mindware Chapter 1, 2006 Loebner (Turing) competition |
| Th 9/14 | Kinds of minds (pdf) (ppt) |
Ungar | Nagel "What is it like to be a bat?" Chalmers "The Puzzle of Conscious Experience" | ||
| Tu 9/19 | Universal Computing (pdf) (ppt) |
Ungar | Davis The Universal Computer Chapter 7 | Turing Machines and the Church-Turing Thesis | |
| Th 9/21 | How
do brains work? (pdf) (ppt) |
Ungar | Due at 1:30 Blackboard Solutions: doc |
Kandel et al. Essentials of Neural Science Chapter
2: Nerve Cells |
Rumelhardt. Chapter 1:
"The Appeal of Parallel Distributed Processing." Invariant visual representation by single neurons in the human brain, R. Quian Quiroga et. al. |
| Tu 9/26 | Probabilistic models of mind Bayes Rule
(pdf) (ppt) |
Ungar | Mitchell. Machine Learning. pp 154-159, 177-184 & additional pages Conditional Probability pgs 57-71 | Bayes' Theorem
tutorial
E. Yudkowsky's An Intuitive Explanation of Bayesian Reasoning |
|
| Wed 9/27 | Optional Probability Review |
5:00 pm. |
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| Th 9/28 | Probabilistic models of mind II: Concept Learning (pdf) (ppt) | Ungar | example and some advice | Tennenbaum and Griffiths"Bayesian modeling of human concept learning" | |
| Tu 10/3 | Probabilistic models of mind III: Social
cognition (pdf)
(ppt) wason test |
Richards, |
Tversky et al, Judgement under uncertainty: heuristics and biases Chapter 10 | Gigerenzer, "Ecological Intelligence in the evolution of the mind," by Cummins and Allen Chapter 1 | |
| Th 10/5 | Perception I: Intro to visual system (ppt) (pdf) | Richards | Due at 1:30 Blackboard Solutions: doc | Reisenberg, Cognition, Chapter 2
(pgs 35-49) |
David
Marr, Vision Reisenberg, Cognition, Chapter 2 (pg 1-34) |
| Tu 10/10 | Perception II: Approaches to the study
of perception (ppt) (pdf) and illusions |
Richards | Kandel et al. Principles of Neural Science Chapter 21: "Construction of the Visual Image" | Moore, Introduction to Hearing. TDS Appendix and elephant digression | |
| Th 10/12 | Perception III: What and where pathways (ppt) (pdf) | Richards | Branich, Cognitive Neuro-science and Neuropsychology, Ch 6 (part 1 and part 2) & 7 (part 1 and part 2) | ||
| Tu 10/17 | Attention (ppt) (pdf) | Richards | Homework 3 Due at 1:30 Blackboard Solutions: doc |
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" |
| Wed 10/18 | Review Session | Ungar, Richards |
5:00 pm |
||
| Thrs 10/19 | MIDTERM 1 | review materials | |||
| Tu 10/24 | FALL BREAK | ||||
| Th 10/26 | Development and Plasticity (ppt) (pdf) | Richards | vonMelchner et al., "visual behavior auditory pathway," Nature, 2000 (pdf) | Sharma et al, "induction of auditoyr cortex," Nature (pdf) | |
| Tu 10/31 | Learning and memory: Reinforcement Learning (pdf) (ppt) | Ungar | Report Proposal | 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. |
| Th 11/2 | Learning and memory: Kinds of memory (pdf) (ppt) |
Ungar | Homework 4 Due at 1:30 Blackboard |
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
|
| Tu 11/7 | Executive Function (ppt) |
Richards | Branich, Cognitive Neuroscience and Neuropsychology, Chapter 11 | ||
| Th 11/9 | Emotion (ppt) | Richards | Ch 13; Emotion. In Cog. Neuroscience, Gazzaniga et al.Cornelius. Chapter 13 I & II |
Emotion and the Human Brain MITECS. Rolls. 'Précis of "The Brain and Emotion"' Behavioral and Brain Science. |
|
| Tu 11/14 | Voles in Love (ppt) | Ungar | Zoogoer:
Addicted to Love |
Monkey Love | |
| Th 11/16 | Why computers are autistic (ppt) | Ungar | report outline bibliography | ||
| Tu 11/21 | Mind, language and computation
I: Computation (pdf) (ppt) |
Ungar | Homework
5 due at 1:30 Blackboard |
Speech Recognition pgs 568-577 | Ullman. Neurocognitive Perspective on Language. Nature Neuroscience. Fosler-Lussier. Markov models and hidden markov models: a brief tutorial. |
| Th 11/23 | THANKSGIVING | ||||
| Tu 11/28 | 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. | |
| Th 11/30 | Metaphor (ppt) | Ungar | Gallese, Vittorio. A Neuro-scientific Grasp of Concepts (2003) & The Inner Sense of Action. (2000), Mirror Neurons | ||
| Tu 12/5 | Course summary (ppt) | Richards, Ungar |
Homework 6 due at 1:30 Blackboard |
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| Wed 12/6 | Review Session | Richards, Ungar |
Annenberg 110 | ||
| Th 12/7 | MIDTERM II | ||||
| Th 12/13 |
Report drop off |