0604394 - PSÚ 2025 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Kynčlová, Kateřina - Chládková, Kateřina
Neural Indices of Online Statistical Learning in Visual Speech.
Proceedings of the Annual Meeting of the Cognitive Science Society. Vol. 46. online: University of California, 2024 - (Samuelson, L.; Frank, S.; Toneva, M.; Mackey, A.; Hazeltine, E.), s. 5302-5309. E-ISSN 1069-7977.
[CogSci 2024: Annual Virtual Meeting of the Cognitive Science Society /46./. Rotterdam (NL), 24.07.2024-27.07.2024]
Grant CEP: GA ČR(CZ) GA21-09797S
Grant ostatní: AV ČR(CZ) LQ300252401
Program: Prémie Lumina quaeruntur
Institucionální podpora: RVO:68081740
Klíčová slova: statistical learning * speech processing * silent speech * visual speech * neural tracking
Obor OECD: Psychology (including human - machine relations)
Web výsledku:
https://escholarship.org/uc/item/3mr3r2dv

The present study investigated online neural indices of statistical learning of silent speech. Adult participants were exposed to naturally mouthed, silent syllable streams in an artificial language in two conditions. In one condition, 12 syllables occurred randomly, in the other the syllables were structured into four syllable triplets, i.e. statistical words. In the recorded EEG signal, phase synchronisation in neural oscillations was assessed at the rate of syllables and words occurring in the exposure streams. Largest phase synchronisation was detected for the word rate during exposure to the structured stream. Moreover, the neural synchronisation to word rate increased throughout the exposure within the structured stream. In a behavioural post-test, however, no learning effects were detected. The EEG results demonstrate sensitivity to statistical regularities in viewed silent speech. These findings indicate that statistical learning in speech and language can be effectively measured online even in the absence of auditory cues.
Trvalý link: https://hdl.handle.net/11104/0361810