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Perception & Psychophysics
Article . 1987 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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An AER study of stop-consonant discrimination

Authors: M P, Gelfer;

An AER study of stop-consonant discrimination

Abstract

The purpose of this study was to explore hemispheric involvement in stop-consonant discrimination. Two experimental designs were used. In the first design, averaged evoked responses (AERs) to stop-consonant-vowel (CV) syllables were combined with AERs to nonspeech stimuli, in a paradigm similar to earlier studies, and were submitted to a principal components analysis and analyses of variance. In the second design, only the CV-syllable AERs were analyzed, in the same manner. When the responses to both CV and nonspeech stimuli were included in the analysis, the results were in agreement with those of earlier studies. However, when the nonspeech-stimuli AERs were removed from the analysis, the unilateral effects observed in prior studies were not replicated. The results of this research indicate the importance of considering experimental design and task variables before generalizing AER results to speech perception.

Related Organizations
Keywords

Adult, Male, Evoked Potentials, Auditory, Speech Perception, Humans, Female, Functional Laterality

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Average
bronze