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Sequence effects in the categorization of tones varying in frequency

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Stewart, Neil and Brown, G. D. A. (2004) Sequence effects in the categorization of tones varying in frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol.30 (No.2). pp. 416-430. doi:10.1037/0278-7393.30.2.416 ISSN 0278-7393.

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Official URL: http://dx.doi.org/10.1037/0278-7393.30.2.416

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Abstract

In contrast to exemplar and decision-bound categorization models, the memory and contrast models described here do not assume that long-term representations of stimulus magnitudes are available. Instead, stimuli are assumed to be categorized using only their differences from a few recent stimuli. To test this alternative, the authors examined sequential effects in a binary categorization of 10 tones varying in frequency. Stimuli up to 2 trials back in the sequence had a significant effect on the response to the current stimulus. The effects of previous stimuli interacted with one another. A memory and contrast model, according to which only ordinal information about the differences between the current stimulus and recent preceding stimuli is used, best accounted for these data

Item Type: Journal Article
Subjects: M Music and Books on Music > M Music
B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculty of Science, Engineering and Medicine > Science > Psychology
Library of Congress Subject Headings (LCSH): Categorization (Psychology), Musical pitch, Music -- Acoustics and physics, Decision making -- Testing
Journal or Publication Title: Journal of Experimental Psychology: Learning, Memory, and Cognition
Publisher: American Psychological Association
ISSN: 0278-7393
Official Date: March 2004
Dates:
DateEvent
March 2004Published
Volume: Vol.30
Number: No.2
Page Range: pp. 416-430
DOI: 10.1037/0278-7393.30.2.416
Status: Peer Reviewed
Access rights to Published version: Open Access (Creative Commons)
Funder: Economic and Social Research Council (Great Britain) (ESRC)
Grant number: R000239531 (ESRC)

Data sourced from Thomson Reuters' Web of Knowledge

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