Literature DB >> 30626723

Can Deep Learning Model Perceptual Learning?

Shahab Bakhtiari1.   

Abstract

Mesh:

Year:  2019        PMID: 30626723      PMCID: PMC6360280          DOI: 10.1523/JNEUROSCI.2209-18.2018

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


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  18 in total

Review 1.  Perceptual learning: specificity versus generalization.

Authors:  Manfred Fahle
Journal:  Curr Opin Neurobiol       Date:  2005-04       Impact factor: 6.627

2.  An integrated reweighting theory of perceptual learning.

Authors:  Barbara Anne Dosher; Pamela Jeter; Jiajuan Liu; Zhong-Lin Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

3.  Deep Neural Networks for Modeling Visual Perceptual Learning.

Authors:  Li K Wenliang; Aaron R Seitz
Journal:  J Neurosci       Date:  2018-05-23       Impact factor: 6.167

4.  Perceptual learning reflects external noise filtering and internal noise reduction through channel reweighting.

Authors:  B A Dosher; Z L Lu
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-10       Impact factor: 11.205

Review 5.  Sense and the single neuron: probing the physiology of perception.

Authors:  A J Parker; W T Newsome
Journal:  Annu Rev Neurosci       Date:  1998       Impact factor: 12.449

6.  Task difficulty and the specificity of perceptual learning.

Authors:  M Ahissar; S Hochstein
Journal:  Nature       Date:  1997-05-22       Impact factor: 49.962

7.  The Contribution of Area MT to Visual Motion Perception Depends on Training.

Authors:  Liu D Liu; Christopher C Pack
Journal:  Neuron       Date:  2017-07-06       Impact factor: 17.173

8.  Perceptual learning specific for orientation and spatial frequency.

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

9.  Physiological correlates of perceptual learning in monkey V1 and V2.

Authors:  Geoffrey M Ghose; Tianming Yang; John H R Maunsell
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

10.  Task precision at transfer determines specificity of perceptual learning.

Authors:  Pamela E Jeter; Barbara Anne Dosher; Alexander Petrov; Zhong-Lin Lu
Journal:  J Vis       Date:  2009-03-05       Impact factor: 2.240

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  1 in total

1.  Systematic Analysis of Pigeons' Discrimination of Pixelated Stimuli: A Hierarchical Pattern Recognition System Is Not Identifiable.

Authors:  Juan D Delius; Julia A M Delius
Journal:  Sci Rep       Date:  2019-09-26       Impact factor: 4.379

  1 in total

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