Displaying 1 - 10 of 10
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Hintz, F., Voeten, C. C., McQueen, J. M., & Meyer, A. S. (2022). Quantifying the relationships between linguistic experience, general cognitive skills and linguistic processing skills. Talk presented at the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022). Toronto, Canada. 2022-07-27 - 2022-07-30.
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Hintz, F., McQueen, J. M., & Meyer, A. S. (2022). The principal dimensions of speaking and listening skills. Talk presented at the 22nd Conference of the European Society for Cognitive Psychology (ESCOP 2022). Lille, France. 2022-08-29 - 2022-09-01.
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Severijnen, G. G. A., Bosker, H. R., & McQueen, J. M. (2022). Acoustic correlates of Dutch lexical stress re-examined: Spectral tilt is not always more reliable than intensity. Talk presented at Speech Prosody 2022. Lisbon, Portugal. 2022-05-23 - 2022-05-26.
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Severijnen, G. G. A., Bosker, H. R., & McQueen, J. M. (2022). How do “VOORnaam” and “voorNAAM” differ between talkers? A corpus analysis of individual talker differences in lexical stress in Dutch. Poster presented at the 18th Conference on Laboratory Phonology (LabPhon 18), online.
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Takashima, A., Hintz, F., McQueen, J. M., Meyer, A. S., & Hagoort, P. (2022). The neuronal underpinnings of variability in language skills. Talk presented at the 22nd Conference of the European Society for Cognitive Psychology (ESCOP 2022). Lille, France. 2022-08-29 - 2022-09-01.
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Uluşahin, O., Bosker, H. R., McQueen, J. M., & Meyer, A. S. (2022). Both contextual and talker-bound F0 information affect voiceless fricative perception. Talk presented at De Dag van de Fonetiek. Utrecht, The Netherlands. 2022-12-16.
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Asaridou, S. S., Dediu, D., Takashima, A., Hagoort, P., & McQueen, J. M. (2013). Learning Dutchinese: Functional, structural, and genetic correlates performance. Poster presented at the 3rd Latin American School for Education, Cognitive and Neural Sciences, Ilha de Comandatuba, Brazil.
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Lai, V. T., Kim, A., & McQueen, J. M. (2013). Sentential context modulates early phases of visual word recognition: Evidence from a training manipulation. Talk presented at the 26th Annual CUNY Conference on Human Sentence Processing [CUNY 2013]. Columbia, SC. 2013-03-21 - 2013-03-23.
Abstract
How does sentential context influence visual word recognition? Recent neural models suggest that single words are recognized via a hierarchy of local combination detectors [1]. Low-level features are extracted first by neurons in V1 in the visual cortex, features are then combined and fed into the higher level of letter
fragments in V2, and then letter shapes in V4, and so on. A recent EEG study examining word recognition in context has shown that contextually-driven anticipation can influence this hierarchy of visual word recognition early on [2]. Specifically, a minor mismatch between the predicted visual word form and the actual input (cake
vs. ceke) can elicit brain responses ~130 ms after word onset [2]. -
Poellmann, K., McQueen, J. M., Baayen, R. H., & Mitterer, H. (2013). Adaptation to reductions: Challenges of regional variation. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2013]. Vienna, Austria. 2013-03-24 - 2013-03-27.
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Viebahn, M., Ernestus, M., & McQueen, J. M. (2013). Syntactic predictability facilitates the recognition of words in connected speech. Talk presented at the 18th Meeting of the European Society for Cognitive Psychology (ESCOP). Budapest (Hungary). 2013-08-29 - 2013-09-01.
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