LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words
- DOI
- 10.1080/23273798.2021.1954207
- Published
- 2021-07-21
- Container
- Language, Cognition and Neuroscience
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/23273798.2021.1954207,
title = {LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words},
author = {Elnaz Shafaei-Bajestan and Masoumeh Moradipour-Tari and Peter Uhrig and R. Harald Baayen},
year = {2021},
journal = {Language, Cognition and Neuroscience},
doi = {10.1080/23273798.2021.1954207},
url = {https://doi.org/10.1080/23273798.2021.1954207}
}RIS
TY - JOUR TI - LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words AU - Elnaz Shafaei-Bajestan AU - Masoumeh Moradipour-Tari AU - Peter Uhrig AU - R. Harald Baayen PY - 2021 JO - Language, Cognition and Neuroscience DO - 10.1080/23273798.2021.1954207 UR - https://doi.org/10.1080/23273798.2021.1954207 ER -
APA
Shafaei-Bajestan, E., Moradipour-Tari, M., Uhrig, P., & Baayen, R. H. (2021). LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2021.1954207
Source records
- crossref · retrieved 2026-09-26T18:05:05.499Z