Literature DB >> 7696093

Neurophysiological correlates of perceptual learning in the human brain.

W Skrandies1, M Fahle.   

Abstract

Rapid learning processes are crucial for human object recognition. We report here on the alterations in neurophysiological activity in the human brain induced by repeated presentation of visual stimuli. In psychophysical experiments the percentage of correct responses increased significantly within less than 30 minutes in untrained observers. This stimulus-specific improvement was not carried over to differently oriented stimuli. Similar learning effects were observed in component latencies of evoked potential field distributions. The occurrence of specific potential field configurations reflected perceptual learning. A spatio-temporal activation pattern with steep gradients over the primary visual cortex appeared to be correlated with plasticity in the human visual system.

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Year:  1994        PMID: 7696093     DOI: 10.1007/bf01186774

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  18 in total

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Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

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Authors:  S B Steinman; D M Levi
Journal:  Vis Neurosci       Date:  1992-04       Impact factor: 3.241

3.  Fast perceptual learning in visual hyperacuity.

Authors:  T Poggio; M Fahle; S Edelman
Journal:  Science       Date:  1992-05-15       Impact factor: 47.728

4.  Segments of event-related potential map series reveal landscape changes with visual attention and subjective contours.

Authors:  D Brandeis; D Lehmann
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-12

5.  Descriptive data analysis: a concept between confirmatory and exploratory data analysis.

Authors:  K Abt
Journal:  Methods Inf Med       Date:  1987-04       Impact factor: 2.176

6.  Vernier acuity of neurones in cat visual cortex.

Authors:  N V Swindale; M S Cynader
Journal:  Nature       Date:  1986 Feb 13-19       Impact factor: 49.962

7.  Reference-free identification of components of checkerboard-evoked multichannel potential fields.

Authors:  D Lehmann; W Skrandies
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1980-06

8.  Long-term learning in vernier acuity: effects of stimulus orientation, range and of feedback.

Authors:  M Fahle; S Edelman
Journal:  Vision Res       Date:  1993-02       Impact factor: 1.886

9.  Effects of practice and the separation of test targets on foveal and peripheral stereoacuity.

Authors:  M Fendick; G Westheimer
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

10.  Perceptual learning specific for orientation and spatial frequency.

Authors:  A Fiorentini; N Berardi
Journal:  Nature       Date:  1980-09-04       Impact factor: 49.962

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  8 in total

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Authors:  Sara C Mednick; Sean P A Drummond; Geoffrey M Boynton; Ed Awh; John Serences
Journal:  Behav Neurosci       Date:  2008-04       Impact factor: 1.912

Review 2.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

3.  Electrophysiological correlates of learning-induced modulation of visual motion processing in humans.

Authors:  Viktor Gál; István Kóbor; Eva M Bankó; Lajos R Kozák; John T Serences; Zoltán Vidnyánszky
Journal:  Front Hum Neurosci       Date:  2010-01-06       Impact factor: 3.169

Review 4.  Boosting visual cortex function and plasticity with acetylcholine to enhance visual perception.

Authors:  Jun Il Kang; Frédéric Huppé-Gourgues; Elvire Vaucher
Journal:  Front Syst Neurosci       Date:  2014-09-18

5.  Reading text works better than watching videos to improve acuity in a simulation of artificial vision.

Authors:  Katerina Eleonora K Rassia; Konstantinos Moutoussis; John S Pezaris
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

Review 6.  The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models.

Authors:  Rodrigo Sigala; Sebastian Haufe; Dipanjan Roy; Hubert R Dinse; Petra Ritter
Journal:  Front Comput Neurosci       Date:  2014-04-04       Impact factor: 2.380

7.  Unsupervised learning of facial emotion decoding skills.

Authors:  Jan O Huelle; Benjamin Sack; Katja Broer; Irina Komlewa; Silke Anders
Journal:  Front Hum Neurosci       Date:  2014-02-27       Impact factor: 3.169

Review 8.  Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us?

Authors:  Jerome Daltrozzo; Christopher M Conway
Journal:  Front Hum Neurosci       Date:  2014-06-18       Impact factor: 3.169

  8 in total

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