Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-18T04:28:57.539Z Has data issue: false hasContentIssue false

Automatic change detection: Does the auditory system use representations of individual stimulus features or gestalts?

Published online by Cambridge University Press:  01 July 1998

Diana Deacon
Affiliation:
Department of Psychology, The City College of the City University of New York, NY, USA
Jo Manette Nousak
Affiliation:
Department of Speech and Hearing, The Graduate Center of City University, New York, NY, USA
Maura Pilotti
Affiliation:
Department of Psychology, The City College of the City University of New York, NY, USA
Walter Ritter
Affiliation:
Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
Chien-Ming Yang
Affiliation:
Department of Psychology, The City College of the City University of New York, NY, USA
Get access

Abstract

The effects of global and feature-specific probabilities of auditory stimuli were manipulated to determine their effects on the mismatch negativity (MMN) of the human event-related potential. The question of interest was whether the automatic comparison of stimuli indexed by the MMN was performed on representations of individual stimulus features or on gestalt representations of their combined attributes. The design of the study was such that both feature and gestalt representations could have been available to the comparator mechanism generating the MMN. The data were consistent with the interpretation that the MMN was generated following an analysis of stimulus features.

Type
Research Article
Copyright
© 1998 Society for Psychophysiological Research

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Address reprint requests to: Dr. Diana Deacon, Department of Psychology, City College, 138th Street and Convent Avenue, New York, NY 10031, USA.