2022
DOI: 10.1101/2022.10.11.511716
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Emergence of the cortical encoding of phonetic features in the first year of life

Abstract: Even prior to producing their first words, infants are developing a sophisticated speech processing system, with robust word recognition present by 4-6 months of age. These emergent linguistic skills, observed with behavioural investigations, are likely to rely on increasingly sophisticated neural underpinnings. The infant brain is known to robustly track the speech envelope, however to date no cortical tracking study could investigate the emergence of phonetic feature encoding. Here we utilise temporal respon… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

2
1

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 77 publications
0
1
0
Order By: Relevance
“…The PhCat metric (FS-S gain) may reflect the EEG encoding of the timing of phonetic feature categories, as well as their identity (Di Liberto et al, 2015;Di Liberto et al, 2021;Liberto et al, 2022). To assess if either or both these properties were encoded in the EEG signals, we also compared the FS-S predictive performance with the results of the same analysis after shuffling the phoneme identities in the transcript, which resulted in the PhOnset metric (FshS-S gain).…”
Section: Cortical Encoding Of Both Target and Masker Phoneme Onsets I...mentioning
confidence: 99%
“…The PhCat metric (FS-S gain) may reflect the EEG encoding of the timing of phonetic feature categories, as well as their identity (Di Liberto et al, 2015;Di Liberto et al, 2021;Liberto et al, 2022). To assess if either or both these properties were encoded in the EEG signals, we also compared the FS-S predictive performance with the results of the same analysis after shuffling the phoneme identities in the transcript, which resulted in the PhOnset metric (FshS-S gain).…”
Section: Cortical Encoding Of Both Target and Masker Phoneme Onsets I...mentioning
confidence: 99%