Displaying 1 - 8 of 8
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Chauvet, J., Slaats, S., Poeppel, D., & Meyer, A. S. (2023). The syllable frequency effect before and after speaking. Poster presented at the 15th Annual Meeting of the Society for the Neurobiology of Language (SNL 2023), Marseille, France.
Abstract
Speaking requires translating concepts into a sequence of sounds. Contemporary models of language production assume that this translation involves a series of steps: from selecting the concepts to be expressed, to phonetic and articulatory encoding of the words. In addition, speakers monitor their planned output using sensorimotor predictive mechanisms. The current work concerns phonetic encoding and the speaker's monitoring of articulation. Specifically, we test whether monitoring is sensitive to the frequency of syllable-sized representations.
We run a series of immediate and delayed syllable production experiments (repetition and reading). We exploit the syllable-frequency effect: in immediate naming, high-frequency syllables are produced faster than low-frequency syllables. The effect is thought to reflect the stronger automatization of motor plan retrieval of high-frequency syllables during phonetic encoding. We predict distinct ERP and spatiotemporal patterns for high- vs. low-frequency syllables. Following articulation, we analyse auditory-evoked N1 responses that – among other features – reflect the suppression of one's own speech. Low-frequency syllables are expected to require more close monitoring, and therefore smaller N1/P2 amplitudes. The results can be important as effects of syllable frequency stand to inform us about the tradeoff between stored versus assembled representations for setting sensory targets in the production of speech. -
Chauvet, J., Slaats, S., Poeppel, D., & Meyer, A. S. (2023). The syllable frequency effect before and after speaking. Poster presented at the 19th NVP Winter Conference on Brain and Cognition, Egmond aan Zee, Netherlands.
Abstract
Speaking requires translating concepts into a sequence of sounds. Contemporary models of language production assume that this translation involves a series of steps: from selecting the concepts to be expressed, to phonetic and articulatory encoding of the words. In addition, speakers monitor their planned output using sensorimotor predictive mechanisms. The current work concerns phonetic encoding and the speaker's monitoring of articulation. Specifically, we test whether monitoring is sensitive to the frequency of syllable-sized representations.
We run a series of immediate and delayed syllable production experiments (repetition and reading). We exploit the syllable-frequency effect: in immediate naming, high-frequency syllables are produced faster than low-frequency syllables. The effect is thought to reflect the stronger automatization of motor plan retrieval of high-frequency syllables during phonetic encoding. We predict distinct ERP and spatiotemporal patterns for high- vs. low-frequency syllables. Following articulation, we analyse auditory-evoked N1 responses that – among other features – reflect the suppression of one's own speech. Low-frequency syllables are expected to require more close monitoring, and therefore smaller N1/P2 amplitudes. The results can be important as effects of syllable frequency stand to inform us about the tradeoff between stored versus assembled representations for setting sensory targets in the production of speech.
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Slaats, S., Meyer, A. S., & Martin, A. E. (2023). Do surprisal and entropy affect delta-band signatures of syntactic processing?. Poster presented at the 29th Architectures and Mechanisms for Language Processing Conference (AMLaP 2023), Donostia–San Sebastián, Spain.
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Slaats, S., Meyer, A. S., & Martin, A. E. (2023). Do surprisal and entropy affect delta-band signatures of syntactic processing?. Poster presented at the 15th Annual Meeting of the Society for the Neurobiology of Language (SNL 2023), Marseille, France.
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Slaats, S., Weissbart, H., Schoffelen, J.-M., Meyer, A. S., & Martin, A. E. (2022). Sentential embedding modulates the low-frequency neural response to words. Poster presented at the 18th NVP Winter Conference on Brain and Cognition, Egmond aan Zee, The Netherlands.
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Slaats, S., Weissbart, H., Schoffelen, J.-M., Meyer, A. S., & Martin, A. E. (2021). Sentences modulate the low-frequency neural encoding of words. Poster presented at the 27th Architectures and Mechanisms for Language Processing Conference (AMLaP 2021), (virtual conference).
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Slaats, S., Weissbart, H., Schoffelen, J.-M., & Martin, A. E. (2021). Do sentences modulate the low-frequency neural response to words?. Poster presented at the 13th Annual Meeting of the Society for the Neurobiology of Language (SNL 2021), online.
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González Alonso, J., Miller, D., Alemán Bañón, J., DeLuca, V., Pereira Soares, S. M., Puig-Mayenco, E., Slaats, S., & Rothman, J. (2020). Typological similarity affects attention in L3 mini-grammar learning: An ERP study. Poster presented at the 26th Architectures and Mechanisms for Language Processing Conference (AMLap 2020), Potsdam, Germany.
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