next up previous
Next: About this document ... Up: Tilt Aftereffects in a Previous: A Acknowledgments

References

Anderson, J. A., and Rosenfeld, E. (Eds.) (1988).
Neurocomputing: Foundations of Research .
Cambridge, MA: MIT Press.

Barlow, H. B. (1990).
A theory about the functional role and synaptic mechanism of visual after-effects.
In Blakemore, C. (Ed.), Vision: Coding and Efficiency (pp. 363-375). New York: Cambridge University Press.

Bednar, J. A. (1997).
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex .
Master's thesis, Department of Computer Sciences, The University of Texas at Austin.
Technical Report AI97-259.

Bednar, J. A., and Miikkulainen, R. (1998).
Pattern-generator-driven development in self-organizing models .
In Bower, J. M. (Ed.), Computational Neuroscience: Trends in Research, 1998 (pp. 317-323). New York: Plenum.

Bosking, W. H., Zhang, Y., Schofield, B., and Fitzpatrick, D. (1997).
Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex.
Journal of Neuroscience , 17  (6), 2112-2127.

Campbell, F. W., and Maffei, L. (1971).
The tilt aftereffect: A fresh look.
Vision Research , 11 , 833-840.

Carpenter, R. H. S., and Blakemore, C. (1973).
Interactions between orientations in human vision.
Experimental Brain Research , 18 , 287-303.

Choe, Y., and Miikkulainen, R. (1998).
Self-organization and segmentation in a laterally connected orientation map of spiking neurons .
Neurocomputing , 21 , 139-157.

Coltheart, M. (1971).
Visual feature-analyzers and aftereffects of tilt and curvature.
Psychological Review , 78  (2), 114-121.

Dong, D. W. (1995).
Associative decorrelation dynamics: A theory of self-organization and optimization in feedback networks .
In Tesauro, G., Touretzky, D. S., and Leen, T. K. (Eds.), Advances in Neural Information Processing Systems 7 (pp. 925-932). Cambridge, MA: MIT Press.

Field, D. J. (1994).
What is the goal of sensory coding?
Neural Computation , 6 , 559-601.

Finlayson, P. G., and Cynader, M. S. (1995).
Synaptic depression in visual cortex tissue slices: An in vitro model for cortical neuron adaptation.
Experimental Brain Research , 106  (1), 145-55.

Földiák, P. (1990).
Forming sparse representations by local anti-Hebbian learning.
Biological Cybernetics , 64 , 165-170.

Fregnac, Y. (1996).
Dynamics of functional connectivity in visual cortical networks: An overview.
Journal of Physiology (Paris) , 90 , 113-139.

Geisler, W. S., and Albrecht, D. G. (1997).
Visual cortex neurons in monkeys and cats: Detection, discrimination, and identification.
Visual Neuroscience , 14  (5), 897-919.

Gibson, J. J., and Radner, M. (1937).
Adaptation, after-effect and contrast in the perception of tilted lines.
Journal of Experimental Psychology , 20 , 453-467.

Gilbert, C. D. (1998).
Adult cortical dynamics .
Physiological Reviews , 78  (2), 467-485.

Greenlee, M. W., and Magnussen, S. (1987).
Saturation of the tilt aftereffect.
Vision Research , 27  (6), 1041-1043.

Grinvald, A., Lieke, E. E., Frostig, R. D., and Hildesheim, R. (1994).
Cortical point-spread function and long-range lateral interactions revealed by real-time optical imaging of macaque monkey primary visual cortex.
Journal of Neuroscience , 14 , 2545-2568.

Hata, Y., Tsumoto, T., Sato, H., Hagihara, K., and Tamura, H. (1993).
Development of local horizontal interactions in cat visual cortex studied by cross-correlation analysis.
Journal of Neurophysiology , 69 , 40-56.

Hirsch, J. A., and Gilbert, C. D. (1991).
Synaptic physiology of horizontal connections in the cat's visual cortex.
Journal of Neuroscience , 11 , 1800-1809.

Hubel, D. H., and Wiesel, T. N. (1968).
Receptive fields and functional architecture of monkey striate cortex.
Journal of Physiology , 195 , 215-243.

Magnussen, S., and Johnsen, T. (1986).
Temporal aspects of spatial adaptation: A study of the tilt aftereffect.
Vision Research , 26  (4), 661-672.

McLean, J., and Palmer, L. A. (1996).
Contrast adaptation and excitatory amino acid receptors in cat striate cortex.
Visual Neuroscience , 13  (6), 1069-1087.

Miikkulainen, R., Bednar, J. A., Choe, Y., and Sirosh, J. (1997).
Self-organization, plasticity, and low-level visual phenomena in a laterally connected map model of the primary visual cortex .
In Goldstone, R. L., Schyns, P. G., and Medin, D. L. (Eds.), Perceptual Learning (Vol. 36 of Psychology of Learning and Motivation, pp. 257-308). San Diego, CA: Academic Press.

Miller, K. D., and MacKay, D. J. C. (1994).
The role of constraints in Hebbian learning.
Neural Computation , 6 , 100-126.

Mitchell, D. E., and Muir, D. W. (1976).
Does the tilt aftereffect occur in the oblique meridian?
Vision Research , 16 , 609-613.

Mundel, T., Dimitrov, A., and Cowan, J. D. (1997).
Visual cortex circuitry and orientation tuning .
In Mozer, M. C., Jordan, M. I., and Petsche, T. (Eds.), Advances in Neural Information Processing Systems 9 (pp. 887-893). Cambridge, MA: MIT Press.

Parker, A. J., and Newsome, W. T. (1998).
Sense and the single neuron: Probing the physiology of perception .
Annual Review of Neuroscience , 21 , 227-277.

Rochester, N., Holland, J. H., Haibt, L. H., and Duda, W. L. (1956).
Tests on a cell assembly theory of the action of the brain, using a large digital computer.
IRE Transactions on Information Theory , 2 , 80-93.
Reprinted in Anderson and Rosenfeld 1988.

Shatz, C. J. (1990).
Impulse activity and the patterning of connections during CNS development.
Neuron , 5 , 745-756.

Sirosh, J. (1995).
A Self-Organizing Neural Network Model of the Primary Visual Cortex .
Doctoral Dissertation, Department of Computer Sciences, The University of Texas at Austin, Austin, TX.
Technical Report AI95-237.

Sirosh, J., and Miikkulainen, R. (1994a).
Cooperative self-organization of afferent and lateral connections in cortical maps .
Biological Cybernetics , 71 , 66-78.

Sirosh, J., and Miikkulainen, R. (1994b).
Modeling cortical plasticity based on adapting lateral interaction .
In Bower, J. M. (Ed.), The Neurobiology of Computation: The Proceedings of the Third Annual Computation and Neural Systems Conference (pp. 305-310). Dordrecht; Boston: Kluwer.

Sirosh, J., and Miikkulainen, R. (1997).
Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex .
Neural Computation , 9 , 577-594.

Sirosh, J., Miikkulainen, R., and Bednar, J. A. (1996).
Self-organization of orientation maps, lateral connections, and dynamic receptive fields in the primary visual cortex .
In Sirosh, J., Miikkulainen, R., and Choe, Y. (Eds.), Lateral Interactions in the Cortex: Structure and Function . Austin, TX: The UTCS Neural Networks Research Group.
Electronic book, ISBN 0-9647060-0-8, http://www.cs.utexas.edu/users/nn/web-pubs/htmlbook96.

Snippe, H. P. (1996).
Parameter extraction from population codes: A critical assessment.
Neural Computation , 8  (3), 511-529.

Stemmler, M., Usher, M., and Niebur, E. (1995).
Lateral interactions in primary visual cortex: A model bridging physiology and psychophysics.
Science , 269 , 1877-1880.

Tolhurst, D. J., and Thompson, P. G. (1975).
Orientation illusions and aftereffects: Inhibition between channels.
Vision Research , 15 , 967-972.

Turrigiano, G., Abbott, L. F., and Marder, E. (1994).
Activity-dependent changes in the intrinsic properties of cultured neurons.
Science , 264 , 974-977.

Turrigiano, G. G. (1998).
Homeostatic plasticity in neuronal networks: The more things change, the more they stay the same.
Trends in Neurosciences .
In press.

Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., and Nelson, S. B. (1998).
Activity-dependent scaling of quantal amplitude in neocortical neurons.
Nature , 391 , 845-846.

van der Zwan, R., and Wenderoth, P. (1995).
Mechanisms of purely subjective contour tilt aftereffects.
Vision Research , 35  (18), 2547-2557.

Vidyasagar, T. R. (1990).
Pattern adaptation in cat visual cortex is a co-operative phenomenon.
Neuroscience , 36 , 175-179.

von der Malsburg, C. (1973).
Self-organization of orientation-sensitive cells in the striate cortex.
Kybernetik , 15 , 85-100.
Reprinted in Anderson and Rosenfeld 1988.

von der Malsburg, C. (1987).
Synaptic plasticity as basis of brain organization.
In Changeux, J.-P., and Konishi, M. (Eds.), The Neural and Molecular Bases of Learning (pp. 411-432). New York: Wiley.

Weliky, M., Kandler, K., Fitzpatrick, D., and Katz, L. C. (1995).
Patterns of excitation and inhibition evoked by horizontal connections in visual cortex share a common relationship to orientation columns.
Neuron , 15 , 541-552.

Wenderoth, P., and Johnstone, S. (1988).
The different mechanisms of the direct and indirect tilt illusions.
Vision Research , 28 , 301-312.

Wolfe, J. M., and O'Connell, K. M. (1986).
Fatigue and structural change: Two consequences of visual pattern adaptation.
Investigative Ophthalmology and Visual Science , 27  (4), 538-543.

Zemel, R. S., Dayan, P., and Pouget, A. (1998).
Probabilistic interpretation of population codes.
Neural Computation , 10  (2), 403-430.

Zucker, R. S. (1989).
Short-term synaptic plasticity.
Annual Review of Neuroscience , 12 , 13-31.



James A. Bednar
8/2/1999