SESSION 7: BRIDGING BIOLOGICAL MODELS AND HIGH-LEVEL
COGNITION
"Trying to understand cognition by studying neurons is
like trying to understand architecture by studying bricks" –Marcel
Just.
Introduction: O'Reilly,
R. C. (2006). Biologically based computational
models of high-level cognition. Science, 314, 91-94.
Papers
- Anderson, J. R., Bothell, D., Byrne, M. D., Douglass,
S., Lebiere, C., & Qin, Y . (2004). An integrated theory of the mind. Psychological Review 111,
1036-1060. (Rick Hullinger)
- Sporns, O., Chialvo, D. R., Kaiser, M., &
Hilgetag, C. (2004). Organization,
development and function of complex brain networks. Trends in
Cognitive Sciences, 9, 418-425. (Andrew
Hendrickson)
- Busemeyer, J. R., Jessup, R. K., Johnson, J. G.,
& Townsend, J. T. (2006). Building bridges between
neural models and complex human decision making behavior. Neural Networks, 19,
1047-1058. (Kyung Lim)
Other Readings
- Anderson, J. R. (in press). Using brain imgaing to
guide the development of a cognitive architecture. In W. D. Gray
(Ed.), Integrated Models of
Cognitive Systems.New York, NY: Oxford University Press.
- Anderson, J. R. (2002). Spanning seven orders of
magnitude: A challenge for cognitive modeling. Cognitive Science,
26, 85-112.
- Mozer, M. C., & Fan, A. (2006). Top-down modulation of neural responses in
visual perception: A computational exploration. Advances in Neural
Information Processing Systems.
- Atallah, H. E., Frank, M. J., & O'Reilly, R. C.
(2004). Hippocampus, cortex,
and basal ganglia: Insights from computational models of complementary
learning systems. Neurobiology of Learning and Memory.
- Dennett, D. C. (1996). Cognitive
science as reverse engineering: Several meanings of "top-down"
and "bottom-up. "
Logic, Methodology, and Philosophy of Science.
Suggested Background Readings
- Anderson,
J. A. (1995). An Introduction to Neural Networks. MIT Press.
(I have both these books, if the library copies are out)
Resources
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