Tracking the Time Course of Word‐Frequency Effects in Auditory Word Recognition With Event‐Related Potentials
Cognitive Science 37 (3):489-507 (2013)
AbstractAlthough the word-frequency effect is one of the most established findings in spoken-word recognition, the precise processing locus of this effect is still a topic of debate. In this study, we used event-related potentials (ERPs) to track the time course of the word-frequency effect. In addition, the neighborhood density effect, which is known to reflect mechanisms involved in word identification, was also examined. The ERP data showed a clear frequency effect as early as 350 ms from word onset on the P350, followed by a later effect at word offset on the late N400. A neighborhood density effect was also found at an early stage of spoken-word processing on the PMN, and at word offset on the late N400. Overall, our ERP differences for word frequency suggest that frequency affects the core processes of word identification starting from the initial phase of lexical activation and including target word selection. They thus rule out any interpretation of the word frequency effect that is limited to a purely decisional locus after word identification has been completed
Added to PP
Historical graph of downloads
References found in this work
An Interactive Activation Model of Context Effects in Letter Perception: I. An Account of Basic Findings.James L. McClelland & David E. Rumelhart - 1981 - Psychological Review 88 (5):375-407.
Electrophysiology Reveals Semantic Memory Use in Language Comprehension.Marta Kutas & Kara D. Federmeier - 2000 - Trends in Cognitive Sciences 4 (12):463-470.
Functional Parallelism in Spoken Word-Recognition.William D. Marslen-Wilson - 1987 - Cognition 25 (1-2):71-102.
Shortlist: A Connectionist Model of Continuous Speech Recognition.Dennis Norris - 1994 - Cognition 52 (3):189-234.
The Dynamics of Lexical Competition During Spoken Word Recognition.James S. Magnuson, James A. Dixon, Michael K. Tanenhaus & Richard N. Aslin - 2007 - Cognitive Science 31 (1):133-156.
Similar books and articles
Please Stop Using Word Frequency Data That Are Likely to Be Word Length Effects in Disguise.Marc Brysbaert & Denis Drieghe - 2003 - Behavioral and Brain Sciences 26 (4):479-479.
Word-Identification Priming for Ignored and Attended Words.Maria Stone, Sandra L. Ladd, Chandan J. Vaidya & John D. E. Gabrieli - 1998 - Consciousness and Cognition 7 (2):238-258.
Perceptual Fluency and Lexical Access for Function Versus Content Words.Sidney J. Segalowitz & Korri Lane - 2004 - Behavioral and Brain Sciences 27 (2):307-308.
The Effects of Frequency and Predictability on Eye Fixations in Reading: An Evaluation of the E-Z Reader Model.Laurent Sparrow, Sébastien Miellet & Yann Coello - 2003 - Behavioral and Brain Sciences 26 (4):503-505.
What Sort of Model Could Account for an Early Autonomy and a Late Interaction Revealed by ERPs?Frédéric Isel - 2000 - Behavioral and Brain Sciences 23 (3):333-334.
Modeling Lexical Effects on Phonetic Categorization and Semantic Effects on Word Recognition.M. Gareth Gaskell - 2000 - Behavioral and Brain Sciences 23 (3):329-330.
Word Versus Task Representation in Neural Networks.Thomas Elbert, Christian Dobell, Alessandro Angrilli, Luciano Stegagno & Brigitte Rockstroh - 1999 - Behavioral and Brain Sciences 22 (2):286-287.
Semantic Priming: Perspectives From Memory and Word Recognition.Timothy P. McNamara - 2005 - Psychology Press.
Eye-Movement Control in Reading: Models and Predictions.Eyal M. Reingold - 2003 - Behavioral and Brain Sciences 26 (4):500-501.
Confidence in Word Detection Predicts Word Identification: Implications for an Unconscious Perception Paradigm.Steven J. Hasse & Gary D. Fisk - 2001 - American Journal of Psychology 114 (3):439-468.
Where to Look Next? The Missing Landing Position Effect.Geoffrey Underwood - 2003 - Behavioral and Brain Sciences 26 (4):505-506.
Words in the Brain's Language.Friedemann PulvermÜ & Ller - 1999 - Behavioral and Brain Sciences 22 (2):253-279.
Word Extension: A Key to Early Word Learning and Domain-Specificity.Sandra R. Waxman - 2001 - Behavioral and Brain Sciences 24 (6):1121-1122.