ERP P1-N1 changes associated with Vernier perceptual learning and its location specificity and transfer.

Our recent studies demonstrate that perceptual learning can transfer completely to untrained retinal locations upon proper training procedures, which suggests perceptual learning being a high-level learning process occurring beyond the retinotopic visual areas. We propose that whether learning is location specific depends on the functional connections between high-level learning and the sensory inputs corresponding to the untrained retinal locations. These inputs may be suppressed by intensive training and focused (spatial) attention on the trained location to obstruct learning transfer. Here we present event-related potential (ERP) evidence that Vernier perceptual learning and its transfer are associated with P1 reduction and N1 enhancement. However, location specificity is only associated with N1 suppression corresponding to the untrained retinal location. These results are consistent with our proposal that the blockage of top-down influences or functional connections and the inhibition of visual inputs corresponding to untrained locations may contribute to location specificity in perceptual learning.

[1]  C. Law,et al.  Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area , 2008, Nature Neuroscience.

[2]  Jens Schwarzbach,et al.  Attentional inhibition of visual processing in human striate and extrastriate cortex , 2003, NeuroImage.

[3]  S. Rose Selective attention , 1992, Nature.

[4]  A. Pouget,et al.  Perceptual learning as improved probabilistic inference in early sensory areas , 2011, Nature Neuroscience.

[5]  H. Levitt Transformed up-down methods in psychoacoustics. , 1971, The Journal of the Acoustical Society of America.

[6]  S. Treue Neural correlates of attention in primate visual cortex , 2001, Trends in Neurosciences.

[7]  C. Gilbert,et al.  Perceptual learning of spatial localization: specificity for orientation, position, and context. , 1997, Journal of neurophysiology.

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

[9]  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.

[10]  G. Mangun Neural mechanisms of visual selective attention. , 1995, Psychophysiology.

[11]  S. Miyauchi,et al.  Mirror symmetrical transfer of perceptual learning by prism adaptation , 2007, Vision Research.

[12]  S. Klein,et al.  Complete Transfer of Perceptual Learning across Retinal Locations Enabled by Double Training , 2008, Current Biology.

[13]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[14]  A. T. Smith,et al.  Attentional suppression of activity in the human visual cortex , 2000, Neuroreport.

[15]  S. Luck,et al.  The role of attention in feature detection and conjunction discrimination: an electrophysiological analysis. , 1995, The International journal of neuroscience.

[16]  S. Klein,et al.  Task relevancy and demand modulate double-training enabled transfer of perceptual learning , 2012, Vision Research.

[17]  Dennis M. Levi,et al.  Decoupling location specificity from perceptual learning of orientation discrimination , 2010, Vision Research.

[18]  N. Logothetis,et al.  Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1 , 2006, Nature Neuroscience.

[19]  J. Haynes,et al.  Perceptual Learning and Decision-Making in Human Medial Frontal Cortex , 2011, Neuron.

[20]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[21]  John J. Foxe,et al.  Spatial attention modulates initial afferent activity in human primary visual cortex. , 2008, Cerebral cortex.

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

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

[24]  S. Klein,et al.  Rule-Based Learning Explains Visual Perceptual Learning and Its Specificity and Transfer , 2010, The Journal of Neuroscience.