Literature DB >> 17576267

The functional form of performance improvements in perceptual learning: learning rates and transfer.

Barbara Anne Dosher1, Zhong-Lin Lu.   

Abstract

The functional form of performance improvements has been extensively studied in speeded cognitive and motor tasks; in such tasks, reductions in response times have been characterized by the ubiquitous power law of learning or by a simpler exponential form. Performance improvements in perceptual capacities are also important in expertise, but their functional form is unknown. This study investigated the functional form of perceptual learning. For individual observers, reductions in thresholds were best described by an exponential function, rather than a power or compound exponential and power (apex) function. Learning was specific to orientation, a result that supports the perceptual locus of the learning, and was decoupled in high and low external noise, a result that reflects separable learning mechanisms in the two conditions. The simple exponential form of learning implies a constant relative rate of learning throughout practice; there was no evidence supporting multilevel hypotheses, such as serial reverse hierarchical and parallel-learning models, that posit multiple processes of learning characterized by different rates.

Mesh:

Year:  2007        PMID: 17576267     DOI: 10.1111/j.1467-9280.2007.01934.x

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  34 in total

1.  Rule-based learning explains visual perceptual learning and its specificity and transfer.

Authors:  Jun-Yun Zhang; Gong-Liang Zhang; Lu-Qi Xiao; Stanley A Klein; Dennis M Levi; Cong Yu
Journal:  J Neurosci       Date:  2010-09-15       Impact factor: 6.167

Review 2.  Accounting for speed-accuracy tradeoff in perceptual learning.

Authors:  Charles C Liu; Takeo Watanabe
Journal:  Vision Res       Date:  2011-09-19       Impact factor: 1.886

3.  A hierarchical approach for fitting curves to response time measurements.

Authors:  Jeffrey N Rouder; Francis Tuerlinckx; Paul Speckman; Jun Lu; Pablo Gomez
Journal:  Psychon Bull Rev       Date:  2008-12

Review 4.  On methodological standards in training and transfer experiments.

Authors:  C Shawn Green; Tilo Strobach; Torsten Schubert
Journal:  Psychol Res       Date:  2013-12-18

5.  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

6.  A diffusion model decomposition of the practice effect.

Authors:  Gilles Dutilh; Joachim Vandekerckhove; Francis Tuerlinckx; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2009-12

7.  Specificity of perceptual learning increases with increased training.

Authors:  Pamela E Jeter; Barbara Anne Dosher; Shiau-Hua Liu; Zhong-Lin Lu
Journal:  Vision Res       Date:  2010-07-16       Impact factor: 1.886

8.  Tactile perceptual learning: learning curves and transfer to the contralateral finger.

Authors:  Amanda L Kaas; Vincent van de Ven; Joel Reithler; Rainer Goebel
Journal:  Exp Brain Res       Date:  2012-11-18       Impact factor: 1.972

9.  Enhanced attentional gain as a mechanism for generalized perceptual learning in human visual cortex.

Authors:  Anna Byers; John T Serences
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

Review 10.  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

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