Correction: Appropriate data segmentation improves speech encoding models: Analysis and simulation of electrophysiological recordings

Authors

Ole Bialas (ORCID: https://orcid.org/0000-0003-4472-7626)
Edmund C. Lalor (ORCID: https://orcid.org/0000-0002-2498-6631)

Publication Details

Journal: PLoS ONE
Published: 2026-04-17
DOI: https://doi.org/10.1371/journal.pone.0347704
Primary Topic: Speech Recognition and Synthesis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Appropriate data segmentation improves speech encoding models: Analysis and simulation of electrophysiological recordings

Ole Bialas, Edmund C. Lalor

Apr 17, 2026

PLoS ONE

Speech Recognition and Synthesis

article

Correction: Appropriate data segmentation improves speech encoding models: Analysis and simulation of electrophysiological recordings

Ole Bialas, Edmund C. Lalor

April 17, 2026article en

Abstract

No abstract available for this paper.

PLoS ONEVol. 21(4)

Openalex Percentile: Top 5%

Speech Recognition and Synthesis

DOI Open Access PDF OpenAlex

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Correction: Appropriate data segmentation improves speech encoding models: Analysis and simulation of electrophysiological recordings — Ole Bialas, Edmund C. Lalor · PLoS ONE (2026) | TGRS Research Map | TGRS