Perceptual Learning and Adaptation

(Psy 8031, 8036, 8993-024)

University of Minnesota, Spring Semester, 2004
http://courses.kersten.org

Instructors:
Sheng He (Psy 8993-024, sheng@umn.edu)
Dan Kersten (Psy 8036, kersten@umn.edu)
Gordon Legge (Psy 8031, legge@umn.edu

First meeting time: 8:30 to 10:00 Tuesdays
Meeting Place: Elliott Hall N227

Adaptability is a hallmark feature of biological systems and is a crucial aspect of human perceptual and cognitive function. Perceptual learning, adaptation, and priming are aspects of adaptability that are well-known, but the relationship between perceptual behavior and neurobiological mechanisms are not well understood. This seminar will bring together psychophysical, magnetic resonance imaging, neuroscience, and computational perspectives with the aim of understanding the mechanisms of adaptation and priming and their role in perceptual and cognitive function.

Format: Discussion of journal articles led by seminar members. Students can sign up for 1-3 credits. Students who register for 2 or 3 credits will prepare a term paper or term project on a related topic.

*If you plan do to a final paper/project on human vision or neuroimaging, register for: Sheng He's Psy 8993 Section 024 Directed Studies: Special Areas of Psychology and Related Sciences : 57513, or Gordon Legge's and Dan Kersten's Topics in Visual Perception, Psy. 8-031.

*If you plan to do a final paper/project on computational approaches to vision or neuroimaging, register for: Dan Kersten's Psy 8036 Special Topics in Computational Vision.

*If you wish to attend and participate without doing a final term project, you may sign up for: 1 credit under Psy. 8-031 or Psy 8993 Section 024.

This seminar will be connected with a Computational Neuroscience Conference to be held at the University of Minnesota, April 16 and 17, 2004 on "COMPUTATIONAL NEUROIMAGING: ADAPTATION AND PRIMING".


Tentative Reading List

Abbonizio, G., Langley, K., & *Clifford, C. W. (2002). Contrast adaptation may enhance contrast discrimination. Spat Vis, 16(1), 45-58.

Ahissar, M., & Hochstein, S. (1997). Task difficulty and the specificity of perceptual learning. Nature, 387(6631), 401-406.

Aslin, R. N., Battaglia, P. W., & Jacobs, R. A. (2004). Depth-dependent contrast gain-control. Vision Res, 44(7), 685-693.

Barlow, H. (1990). Conditions for versatile learning, Helmholtz's unconscious inference, and the task of perception. Vision Res, 30(11), 1561-1571.

Barlow, H. B., Macleod, D. I., & van Meeteren, A. (1976). Adaptation to gratings: no compensatory advantages found. Vision Res, 16(10), 1043-1045.

Battaglia, P. W., Jacobs, R. A., & Aslin, R. N. (2004). Depth-dependent blur adaptation. Vision Res, 44(2), 113-117.

*Boynton, G. M., & Finney, E. M. (2003). Orientation-specific adaptation in human visual cortex. J Neurosci, 23(25), 8781-8787.

Brady, M. J., & Kersten, D. (2003). Bootstrapped learning of novel objects. J Vis, 3(6), 413-422.

Buchel, C., Coull, J. T., & Friston, K. J. (1999). The predictive value of changes in effective connectivity for human learning. Science, 283(5407), 1538-1541.

*Carandini, M., Barlow, H. B., O'Keefe, L. P., Poirson, A. B., & Movshon, J. A. (1997). Adaptation to contingencies in macaque primary visual cortex. Philos Trans R Soc Lond B Biol Sci, 352(1358), 1149-1154.

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Carandini, M. (2000). Visual cortex: Fatigue and adaptation. Curr Biol, 10(16), R605-607.

Chung S.T.L., Legge G.E. & Cheung S.-H. Letter recognition and reading speed in peripheral vision benefit from perceptual learning. Vision Research (in press).

*Clifford, C. W. (2002). Perceptual adaptation: motion parallels orientation. Trends Cogn Sci, 6(3), 136-143.

*Clifford, C. W., Wenderoth, P., & Spehar, B. (2000). A functional angle on some after-effects in cortical vision. Proc R Soc Lond B Biol Sci, 267(1454), 1705-1710.

Crist, R.E., Li, W., & Gilbert, C.D. (2001). Learning to see: experience and attention in primary visual cortex. Nature
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Domini, F., Adams, W., & Banks, M. S. (2001). 3D after-effects are due to shape and not disparity adaptation. Vision Res, 41(21), 2733-2739.

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*Fine, I., & Jacobs, R. A. (2002). Comparing perceptual learning tasks: a review. J Vis, 2(2), 190-203.

*Fine, I., Wade, A. R., Brewer, A. A., May, M. G., Goodman, D. F., Boynton, G. M., et al. (2003). Long-term deprivation affects visual perception and cortex. Nat Neurosci, 6(9), 915-916.

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Gauthier, I., & Nelson, C. A. (2001). The development of face expertise. Curr Opin Neurobiol, 11(2), 219-224.

*Ghose, G. M., Yang, T., & Maunsell, J. H. (2002). Physiological correlates of perceptual learning in monkey V1 and V2. J Neurophysiol, 87(4), 1867-1888.

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Gibson, E. J., & Pick, A. D. (2000). An ecological approach to perceptual learning and development. Oxford ; New York: Oxford University Press.

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*Grill-Spector, K., & Malach, R. (2001). fMR-adaptation: a tool for studying the functional properties of human cortical neurons. Acta Psychol (Amst), 107(1-3), 293-321.

*Grill-Spector, K. (2001). Semantic versus perceptual priming in fusiform cortex. Trends Cogn Sci, 5(6), 227-228.

*Grill-Spector, K. (2003). The neural basis of object perception. Curr Opin Neurobiol, 13(2), 159-166.

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Hochstein, S., & Ahissar, M. (2002). View from the top: hierarchies and reverse hierarchies in the visual system. Neuron, 36(5), 791-804.

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*James, T. W., Humphrey, G. K., Gati, J. S., Menon, R. S., & Goodale, M. A. (2002). Differential effects of viewpoint on object-driven activation in dorsal and ventral streams. Neuron, 35(4), 793-801.

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*Olman, C. A., Ugurbil, K., Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Res, 44(7), 669-683.

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