Perceptual learning and adult cortical plasticity

The visual cortex retains the capacity for experience‐dependent changes, or plasticity, of cortical function and cortical circuitry, throughout life. These changes constitute the mechanism of perceptual learning in normal visual experience and in recovery of function after CNS damage. Such plasticity can be seen at multiple stages in the visual pathway, including primary visual cortex. The manifestation of the functional changes associated with perceptual learning involve both long term modification of cortical circuits during the course of learning, and short term dynamics in the functional properties of cortical neurons. These dynamics are subject to top‐down influences of attention, expectation and perceptual task. As a consequence, each cortical area is an adaptive processor, altering its function in accordance to immediate perceptual demands.

[1]  M. Wertheimer.  Laws of organization in perceptual forms. , 1938 .

[2]  T. Wiesel,et al.  Morphology and intracortical projections of functionally characterised neurones in the cat visual cortex , 1979, Nature.

[3]  J. Lund,et al.  Widespread periodic intrinsic connections in the tree shrew visual cortex. , 1982, Science.

[4]  T. Wiesel,et al.  Clustered intrinsic connections in cat visual cortex , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  T. Wiesel,et al.  Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  T. Wiesel,et al.  Lateral interactions in visual cortex. , 1990, Cold Spring Harbor symposia on quantitative biology.

[7]  J. Kaas,et al.  Rapid reorganization of cortical maps in adult cats following restricted deafferentation in retina , 1992, Vision Research.

[8]  T. Wiesel,et al.  Receptive field dynamics in adult primary visual cortex , 1992, Nature.

[9]  Stephen J. Heinen,et al.  Adaptation of saccades and fixation to bilateral foveal lesions in adult monkey , 1992, Vision Research.

[10]  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.

[11]  David J. Field,et al.  Contour integration by the human visual system: Evidence for a local “association field” , 1993, Vision Research.

[12]  C. Gilbert,et al.  Axonal sprouting accompanies functional reorganization in adult cat striate cortex , 1994, Nature.

[13]  C. Gilbert,et al.  Topographic reorganization in the striate cortex of the adult cat and monkey is cortically mediated , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[14]  C. Gilbert,et al.  Long-range horizontal connections and their role in cortical reorganization revealed by optical recording of cat primary visual cortex , 1995, Nature.

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

[16]  C. Gilbert,et al.  Attention and Perceptual Learning Modulate Contextual Influences on Visual Perception , 1998, Neuron.

[17]  G. Orban,et al.  Reorganization in the visual cortex after retinal and cortical damage. , 1999, Restorative neurology and neuroscience.

[18]  C. Gilbert,et al.  Attention Modulates Contextual Influences in the Primary Visual Cortex of Alert Monkeys , 1999, Neuron.

[19]  W. Burke,et al.  Plasticity in adult cat visual cortex (area 17) following circumscribed monocular lesions of all retinal layers , 2000, The Journal of physiology.

[20]  I. Kovács.  Human development of perceptual organization , 2000, Vision Research.

[21]  C. Gilbert,et al.  Learning to find a shape , 2000, Nature Neuroscience.

[22]  C. Gilbert,et al.  On a common circle: natural scenes and Gestalt rules. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

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

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

[25]  Wu Li,et al.  Global contour saliency and local colinear interactions. , 2001, Journal of neurophysiology.

[26]  Jean Bennett,et al.  Lateral Connectivity and Contextual Interactions in Macaque Primary Visual Cortex , 2002, Neuron.

[27]  C. Gilbert,et al.  Perceptual learning and top-down influences in primary visual cortex , 2004, Nature Neuroscience.

[28]  N. Kanwisher,et al.  Reorganization of Visual Processing in Macular Degeneration , 2005, The Journal of Neuroscience.

[29]  C. Gilbert,et al.  Top-Down Reorganization of Activity in the Visual Pathway after Learning a Shape Identification Task , 2005, Neuron.

[30]  C. Gilbert,et al.  Contour Saliency in Primary Visual Cortex , 2006, Neuron.

[31]  U. Eysel,et al.  Dynamics and specificity of cortical map reorganization after retinal lesions. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[32]  C. Gilbert,et al.  Brain States: Top-Down Influences in Sensory Processing , 2007, Neuron.

[33]  C. Gilbert,et al.  Learning to Link Visual Contours , 2008, Neuron.

[34]  Alex S. Ferecskó,et al.  The fractions of short- and long-range connections in the visual cortex , 2009, Proceedings of the National Academy of Sciences.