The following is the paper presentation topic for each
student.
- Jyh-Ming Lien
J. Weng. Developmental robotics: Theory and experiments. International Journal of Humanoid Robotics, 1:199-236, 2004. [pdf]
- Takao Yamanaka
Marc O. Ernst and Martin S. Banks. Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415:429-433, 2002. [pdf] (Optional: K. P. Kording and D. M. Wolpert, "Bayesian integration in sensorimotor learning," Nature, Vol. 427, 2004, pp. 244-247. [pdf])
- Hari Shankar Muddana
David Pierce and Benjamin Kuipers. Map learning with uninterpreted sensors and effectors. Artificial Intelligence, 92:169-227, 1997. [Link] (Optinal: David Mark Pierce. Map Learning with Uninterpreted Sensors and Effectors. PhD thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995. [pdf])
- Marco Morales
M. Steyvers and J. B. Tenenbaum
The Large-Scale Structure of Semantic Networks [Link]
- David Mayerich
Sen Song, Kenneth D. Miller, and L. F. Abbott. Competitive hebbian
learning through spike-timing-dependent synaptic plasticity,
Nature Neuroscience, 3:919-926, 2000.
[pdf].
- Ji Ryang Chung
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"The Psychology of Attention", Harold E. Pashler
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"Visual Attention and Cortical Circuit" (chapter 7. Neural
Mechanisms of Attentional Selection), John H. Reynolds, Robert
Desimone
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"Visual Attention: Insights from Brain Imaging", Nancy Kanwisher,
Ewa Wojciulik
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"Selective Attention Gates Visual Processing in the Extrastriate
Cortex", Jeffery Moran, Robert Desimone
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"Competitive Mechanisms Subserve Attention in Macaque Areas V2 and
V4", John H. Reynolds, Leonardo Chelazzi, Robert Desimone
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For the programming assignment, choose one of the four
mini projects in http://courses.cs.tamu.edu/choe/689-src (read the README file).
Think about what your project will be, and choose the one that would be
most beneficial in getting you started.
The deadline is Friday 3/25 in class.
- Start thinking about your term project. You can either do it
on your own or as a team of two. Read the proposal for ideas.
Suggested topics are (in no particular order):
- Sensorimotor learning: Platforms include
Khepera, Braitenberg vehicles, SIDA, ESP, etc.
- Imitation
- Extending the thalamocortical model
- Time--memory relationship in neural systems
- Analysis of dynamical behavior in neural-controller agents
- ---- the following topics have not been covered yet ----
- Self-organization in the visual system
- Network connectivity analysis and visualization: parameter
estimation and generation of circuitry
- You will need to present one or two paper(s) after the
spring break. Please let me know which paper you will like to
present by Monday 3/21.
- Midterm: a brief essay-type exam will be given in the last
week of March, in class. It will test if you have the
proper conceptual grasp of the material presented in the
class so far (about 5 essay questions).
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