Effects of biased feedback on learning and deciding in a vernier discrimination task

Vision Research

Volumn 39, Issue 25, 1999, Pages 4232-4243

  Herzog, Michael H ^a   Fahle, Manfred ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

Decision theory; Hyperacuity; Internal criteria; Neural networks; Perceptual learning

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; DECISION MAKING; DISCRIMINATIVE STIMULUS; FEEDBACK SYSTEM; HUMAN; HUMAN EXPERIMENT; LEARNING; NEUROTRANSMISSION; NORMAL HUMAN; PRIORITY JOURNAL;

DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); HUMANS; LEARNING; MODELS, PSYCHOLOGICAL; PHOTIC STIMULATION; SPACE PERCEPTION; VISUAL ACUITY;

EID: 0032885360     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(99)00138-8     Document Type: Article

References (20)

1. Ahissar M., Hochstein S. Task difficulty and the specifity of perceptual learning. Nature. 387:1997;401-405.
2. Ball K., Sekuler R. Direction-specific improvement in motion discrimination. Vision Research. 27:1987;953-965.
3. Fahle M. Human pattern recognition: parallel processing and perceptual learning. Perception. 23:1994;411-427.
4. Fahle M.W., Edelman S. Long-term learning in vernier acuity: effects of stimulus orientation, range, and of feedback. Vision Research. 3S:1993;397-412.
5. Fahle M.W., Edelman S., Poggio T. Fast perceptual learning in visual hyperacuity. Vision Research. 35:1995;3003-3013.
6. Fiorentini A., Berardi N. Perceptual learning specific for orientation and spatial frequency. Nature. 287:1980;43-44.
7. Gilbert C.D. Early perceptual learning. Proceedings of the National Academy of Science USA. 91:1994;1195-1197.
8. Green D., Swets J. Signal detection theory and psychophysics. 1966;Robert E. Krieger Publishing Company, Huntington, NY.
9. Hertz J., Krogh A., Palmer R.G. Introduction to the theory of neural computation. 1991;The Santa Fe Institute, Addison-Wesley Publishing Company, Redwood City, CA.
10. Herzog M.H., Fahle M. The role of feedback in learning a vernier discrimination task. Vision Research. 37:1997;2133-2142.
11. Herzog M.H., Fahle M. Modeling perceptual learning: difficulties and how they can be overcome. Biological Cybernetics. 78:1998;107-117.
12. Herzog M.H., Broos A.H., Fahle M. Practicing a vernier discrimination task with non-uniformly distributed stimuli influences decision but not learning processes. Investigative Opthalmology and Visual Science. 40(4):1999;3077.
13. Karni A., Sagi D Where practice makes perfect in texture discrimination: evidence for primary visual cortex plasticity. Proceedings of the National Academy of the Science USA. 88:1991;4966-4970.
14. Mollon J.D., Danilova M.V. Three remarks on perceptual learning. Spatial Vision. 10:1996;51-58.
15. Polat U., Sagi D. Spatial interactions in human vision: from near to far via experience-dependent cascades of connections. Proceedings of the National Academy of Science. 91:1994;1206-1209.
16. Poggio, T. (1990). A theory of how the brain might work. A.I. Memo No. 125S, MIT.
17. Poggio T., Fahle M., Edelman S. Fast learning in visual hyperacuity. Science. 256:1992;1018-1021.
18. Ramachandran V.S., Braddick O. Orientation-specific learning in stereopsis. Perception. 2:1973;371-376.
19. Schoups, Vogels, Orban Human perceptual learning in identifying the oblique orientation: retinotopy, orientation-specificity and monocularity. Journal of Physiology. 483(3):1995;810-979.
20. Sundareswaran V., Vaina L. Learning direction in global motion: two classes of psychophysically-motivated models. Tesauro G., Touretzky D., Leen T. Advances in neural information processing systems, 7. 1994;917-924 Morgan Kaufmann Publishers, San Francisco.