Mechanisms of perceptual learning

Systematic measurements of perceptual learning were performed in the presence of external or stimulus noise. In the new external noise method (Dosher, B, & Lu, Z.-L. (1997). Investigative Ophthalmology and Visual Science, 38, S687; Lu, Z.-L., & Dosher, B. (1998). Vision Research, 38, 1183-1198), increasing amounts of external noise (white Gaussian random noise) is added to the visual stimulus in order to identify mechanisms of perceptual learning. Performance improved (threshold contrast was reduced) over days of practice on a peripheral orientation discrimination task--labelling Gabor patches as tilted slightly to the right or left. Practice improvements were largely specific to the trained quadrant of the display. Performance improved at all levels of external noise. The external noise method and perceptual template model (PTM) of the observer identifies the mechanism(s) of performance improvements as due to stimulus enhancement, external noise exclusion, or internal noise suppression. The external noise method was further extended by measuring thresholds at two threshold performance levels, allowing identification of mixtures in the PTM model. Perceptual learning over 8-10 days improved the filtering or exclusion of external noise by a factor of two or more, and improved suppression of additive internal noise--equivalent to stimulus enhancement--by 50% or more. Coupled improvements in external noise exclusion and stimulus enhancement in the PTM model may reflect channel weighting. Perceptual learning may not reflect neural plasticity at the level of basic visual channels, nor cognitive adjustments of strategy, but rather plasticity at an intermediate level of weighting inputs to decision.

[1]  D. M. Green,et al.  CONSISTENCY OF AUDITORY DETECTION JUDGMENTS. , 1963, Psychological review.

[2]  O Braddick,et al.  Orientation-Specific Learning in Stereopsis , 1973, Perception.

[3]  K. D. Valois Spatial frequency adaptation can enhance contrast sensitivity , 1977, Vision Research.

[4]  S. McKee,et al.  Improvement in vernier acuity with practice , 1978, Perception & psychophysics.

[5]  Estimates of internal noise , 1978 .

[6]  A. Fiorentini,et al.  Perceptual learning specific for orientation and spatial frequency , 1980, Nature.

[7]  D M Green,et al.  Two procedures for estimating internal noise. , 1981, The Journal of the Acoustical Society of America.

[8]  A. Fiorentini,et al.  Learning in grating waveform discrimination: Specificity for orientation and spatial frequency , 1981, Vision Research.

[9]  Estimates of the ratio of external to internal noise obtained using repeatable samples of noise , 1981 .

[10]  R. Sekuler,et al.  A specific and enduring improvement in visual motion discrimination. , 1982, Science.

[11]  M. Mayer Practice improves adults' sensitivity to diagonals , 1983, Vision Research.

[12]  D. Hubel,et al.  Specificity of intrinsic connections in primate primary visual cortex , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[13]  G. Orban,et al.  The effect of practice on the oblique effect in line orientation judgments , 1985, Vision Research.

[14]  R. Desimone,et al.  Selective attention gates visual processing in the extrastriate cortex. , 1985, Science.

[15]  A Fiorentini,et al.  Interhemispheric transfer of visual information in humans: spatial characteristics. , 1987, The Journal of physiology.

[16]  R. Sekuler,et al.  Direction-specific improvement in motion discrimination , 1987, Vision Research.

[17]  A E Burgess,et al.  Visual signal detection. IV. Observer inconsistency. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[18]  G. Sperling Three stages and two systems of visual processing. , 1989, Spatial vision.

[19]  D Sagi,et al.  Where practice makes perfect in texture discrimination: evidence for primary visual cortex plasticity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[20]  G. Blasdel,et al.  Orientation selectivity, preference, and continuity in monkey striate cortex , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[21]  H. Pashler,et al.  Improvement in line orientation discrimination is retinally local but dependent on cognitive set , 1992, Perception & psychophysics.

[22]  T Poggio,et al.  Fast perceptual learning in visual hyperacuity. , 1991, Science.

[23]  S. Edelman,et al.  Long-term learning in vernier acuity: Effects of stimulus orientation, range and of feedback , 1993, Vision Research.

[24]  M. Merzenich,et al.  Plasticity in the frequency representation of primary auditory cortex following discrimination training in adult owl monkeys , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  A. Karni,et al.  The time course of learning a visual skill , 1993, Nature.

[26]  B. S. Rubenstein,et al.  Effects of foreground scale in texture discrimination tasks: performance is size, shape, and content specific. , 1993, Spatial vision.

[27]  D. Tanné,et al.  Perceptual learning: learning to see , 1994, Current Opinion in Neurobiology.

[28]  H. Pashler,et al.  Negligible Effect of Spatial Precuing on Identification of Single Digits , 1994 .

[29]  G. Orban,et al.  Human perceptual learning in identifying the oblique orientation: retinotopy, orientation specificity and monocularity. , 1995, The Journal of physiology.

[30]  D. Levi,et al.  Perceptual learning in parafoveal vision , 1995, Vision Research.

[31]  D. Levi,et al.  Perceptual learning in vernier acuity: What is learned? , 1995, Vision Research.

[32]  J. Mollon,et al.  Three remarks on perceptual learning. , 1996, Spatial vision.

[33]  S. Hochstein,et al.  Learning Pop-out Detection: Specificities to Stimulus Characteristics , 1996, Vision Research.

[34]  D. Sagi,et al.  Contrast masking effects change with practice , 1997, Vision Research.

[35]  S. Hochstein,et al.  Task difficulty and the specificity of perceptual learning , 1997, Nature.

[36]  Z L Lu,et al.  Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Z Liu,et al.  Simultaneous learning of motion discrimination in two directions. , 1998, Brain research. Cognitive brain research.

[38]  Shaul Hochstein,et al.  Learning pop-out detection: building representations for conflicting target-distractor relationships , 1998, Vision Research.

[39]  A. B. Sekuler,et al.  Signal but not noise changes with perceptual learning , 1999, Nature.

[40]  B. Dosher,et al.  Characterizing human perceptual inefficiencies with equivalent internal noise. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.

[41]  B. Dosher,et al.  Mechanisms of perceptual learning , 1999, Vision Research.

[42]  G. Orban,et al.  Neuronal Mechanisms of Perceptual Learning: Changes in Human Brain Activity with Training in Orientation Discrimination , 1999, NeuroImage.

[43]  J. Maunsell,et al.  Effects of Attention on the Processing of Motion in Macaque Middle Temporal and Medial Superior Temporal Visual Cortical Areas , 1999, The Journal of Neuroscience.

[44]  R. Jacobs,et al.  Perceptual learning for a pattern discrimination task , 2000, Vision Research.

[45]  T. Pasternak,et al.  The multiple roles of visual cortical areas MT/MST in remembering the direction of visual motion. , 2000, Cerebral cortex.

[46]  R. Desimone,et al.  Attention Increases Sensitivity of V4 Neurons , 2000, Neuron.

[47]  C. Furmanski,et al.  Perceptual learning in object recognition: object specificity and size invariance , 2000, Vision Research.

[48]  Z L Lu,et al.  Three-systems theory of human visual motion perception: review and update. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[49]  G. Orban,et al.  Practising orientation identification improves orientation coding in V1 neurons , 2001, Nature.

[50]  C. Gilbert,et al.  Learning to see: experience and attention in primary visual cortex , 2001, Nature Neuroscience.