Literature DB >> 18489229

The easy-to-hard effect in human (Homo sapiens) and rat (Rattus norvegicus) auditory identification.

Estella H Liu1, Eduardo Mercado, Barbara A Church, Itzel Orduña.   

Abstract

The authors examined whether progressively training humans and rats to perform a difficult auditory identification task led to larger improvements than extensive training with highly similar sounds (the easy-to-hard effect). Practice improved humans' ability to distinguish sounds regardless of the training regimen. However, progressively trained subjects were more accurate and showed more generalization, despite significantly less training with the stimuli that were the most difficult to distinguish. Rats showed less capacity to improve with practice but still benefited from progressive training. These findings indicate that transitioning from an easier to a more difficult task during training can facilitate, and in some cases may be essential for, auditory perceptual learning. The results are not predicted by an explanation that assumes interaction of generalized excitation and inhibition but are consistent with a hierarchical account of perceptual learning in which the representational precision required to distinguish stimuli determines the mechanisms engaged during learning. PsycINFO Database Record (c) 2008 APA, all rights reserved.

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Year:  2008        PMID: 18489229      PMCID: PMC2664539          DOI: 10.1037/0735-7036.122.2.132

Source DB:  PubMed          Journal:  J Comp Psychol        ISSN: 0021-9940            Impact factor:   2.231


  38 in total

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4.  Reorganization in awake rat auditory cortex by local microstimulation and its effect on frequency-discrimination behavior.

Authors:  S K Talwar; G L Gerstein
Journal:  J Neurophysiol       Date:  2001-10       Impact factor: 2.714

5.  Auditory training induces asymmetrical changes in cortical neural activity.

Authors:  Kelly L Tremblay; Nina Kraus
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6.  The effect of prolonged exposure to visually presented patterns on learning to discriminate them.

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7.  Changes in NMDA receptor expression in auditory cortex after learning.

Authors:  Wei Sun; Eduardo Mercado; Ping Wang; Xiaojun Shan; Te-Chung Lee; Richard J Salvi
Journal:  Neurosci Lett       Date:  2004-11-24       Impact factor: 3.046

Review 8.  Map plasticity in somatosensory cortex.

Authors:  Daniel E Feldman; Michael Brecht
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9.  Spectrotemporal sensitivities in rat auditory cortical neurons.

Authors:  I Orduña; E Mercado; M A Gluck; M M Merzenich
Journal:  Hear Res       Date:  2001-10       Impact factor: 3.208

10.  Auditory categorization of complex sounds by rats (Rattus norvegicus).

Authors:  Eduardo Mercado; Itzel Orduña; Jeaveen M Nowak
Journal:  J Comp Psychol       Date:  2005-02       Impact factor: 2.231

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  10 in total

1.  Temporal dynamics in auditory perceptual learning: impact of sequencing and incidental learning.

Authors:  Barbara A Church; Eduardo Mercado; Matthew G Wisniewski; Estella H Liu
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-05-28       Impact factor: 3.051

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Authors:  Matthew G Wisniewski
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3.  Auditory discrimination learning and knowledge transfer in mice depends on task difficulty.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-19       Impact factor: 11.205

4.  Learning-related shifts in generalization gradients for complex sounds.

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5.  The easy-to-hard training advantage with real-world medical images.

Authors:  Brett D Roads; Buyun Xu; June K Robinson; James W Tanaka
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6.  Wide sensory filters underlie performance in memory-based discrimination and generalization.

Authors:  Chi Chen; Dilja Krueger-Burg; Livia de Hoz
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

7.  Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks.

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Review 8.  Use of auditory learning to manage listening problems in children.

Authors:  David R Moore; Lorna F Halliday; Sygal Amitay
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-02-12       Impact factor: 6.237

9.  Relationship between perceptual learning in speech and statistical learning in younger and older adults.

Authors:  Thordis M Neger; Toni Rietveld; Esther Janse
Journal:  Front Hum Neurosci       Date:  2014-09-01       Impact factor: 3.169

10.  Benefits of fading in perceptual learning are driven by more than dimensional attention.

Authors:  Matthew G Wisniewski; Milen L Radell; Barbara A Church; Eduardo Mercado
Journal:  PLoS One       Date:  2017-07-19       Impact factor: 3.240

  10 in total

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