Recurrent neural networks as neuro-computational models of human speech recognition.

Saved in:
Bibliographic Details
Title: Recurrent neural networks as neuro-computational models of human speech recognition.
Authors: Brodbeck C; Department of Computing and Software, McMaster University, Hamilton, Ontario, Canada.; Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America., Hannagan T; Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America.; Stellantis Group, Poissy, France., Magnuson JS; Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America.; Computational Neuroscience, Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain.; Ikerbasque: Basque Foundation for Science, Bilbao, Spain.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Jul 28; Vol. 21 (7), pp. e1013244. Date of Electronic Publication: 2025 Jul 28 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1013244