Cargando…
Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming
Human listeners achieve quick and effortless speech comprehension through computations of conditional probability using Bayes rule. However, the neural implementation of Bayesian perceptual inference remains unclear. Competitive-selection accounts (e.g., TRACE) propose that word recognition is achie...
Autores principales: | Wang, Yingcan Carol, Sohoglu, Ediz, Gilbert, Rebecca A., Henson, Richard N., Davis, Matthew H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360690/ https://www.ncbi.nlm.nih.gov/pubmed/34210777 http://dx.doi.org/10.1523/JNEUROSCI.1685-20.2021 |
Ejemplares similares
-
The Presence of Background Noise Extends the Competitor Space in Native and Non‐Native Spoken‐Word Recognition: Insights from Computational Modeling
por: Karaminis, Themis, et al.
Publicado: (2022) -
Temporal Predictive Codes for Spoken Words in Auditory Cortex
por: Gagnepain, Pierre, et al.
Publicado: (2012) -
Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition
por: Cai, Zhenguang G., et al.
Publicado: (2017) -
Examining long-term repetition priming effects in spoken word recognition using computer mouse tracking
por: Tuft, Samantha E., et al.
Publicado: (2023) -
Rapid computations of spectrotemporal prediction error support perception of degraded speech
por: Sohoglu, Ediz, et al.
Publicado: (2020)