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1
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
In: ISSN: 2041-1723 ; Nature communications, Vol. 13, No 1 (2022) P. 48 (2022)
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2
Musical Sophistication and Speech Auditory-Motor Coupling: Easy Tests for Quick Answers
In: Front Neurosci (2022)
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3
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
In: Nat Commun (2022)
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4
The cognitive neurosciences
MPI für Psycholinguistik
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5
Neural dynamics of phoneme sequencing in real speech jointly encode order and invariant content
In: https://hal.archives-ouvertes.fr/hal-03089733 ; 2020 (2020)
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6
On Multi-Scale Processing in The Auditory System
In: Forum Acusticum ; https://hal.archives-ouvertes.fr/hal-03235920 ; Forum Acusticum, Dec 2020, Lyon, France. pp.1407-1408, ⟨10.48465/fa.2020.0640⟩ (2020)
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7
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy
In: ISSN: 1544-9173 ; EISSN: 1545-7885 ; PLoS Biology ; https://hal.archives-ouvertes.fr/hal-02496552 ; PLoS Biology, Public Library of Science, 2020, 18 (3), pp.e3000207. ⟨10.1371/journal.pbio.3000207⟩ (2020)
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8
NyU-BU contextually controlled stories Corpus: NUBUC ...
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9
NyU-BU contextually controlled stories Corpus: NUBUC ...
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10
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy
Giroud, Jérémy; Trébuchon, Agnès; Schön, Daniele. - : Public Library of Science, 2020
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11
Working Memory and syntactic complexity in Brazilian Portuguese and English
In: North East Linguistics Society (2020)
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12
Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries
Abstract: The principles underlying functional asymmetries in cortex remain debated. For example, it is accepted that speech is processed bilaterally in auditory cortex, but a left hemisphere dominance emerges when the input is interpreted linguistically. The mechanisms, however, are contested: what sound features or processing principles underlie laterality? Recent findings across species (humans, canines, bats) provide converging evidence that spectrotemporal sound features drive asymmetrical responses. Typically, accounts invoke models wherein the hemispheres differ in time-frequency resolution or integration window size. We develop a framework that builds on and unifies prevailing models, using spectrotemporal modulation space. Using signal processing techniques motivated by neural responses, we test this approach employing behavioral and neurophysiological measures. We show how psychophysical judgments align with spectrotemporal modulations and then characterize the neural sensitivities to temporal and spectral modulations. We demonstrate differential contributions from both hemispheres, with a left lateralization for temporal modulations and a weaker right lateralization for spectral modulations. We argue that representations in the modulation domain provide a more mechanistic basis to account for lateralization in auditory cortex.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pubmed/30971792
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650286/
https://doi.org/10.1038/s41562-019-0548-z
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13
Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning
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14
In Spoken Word Recognition, the Future Predicts the Past
Gwilliams, Laura; Linzen, Tal; Poeppel, David. - : Society for Neuroscience, 2018
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15
Cortical tracking of linguistic structures: the role of covert prosody ...
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16
Phonological (un)certainty weights lexical activation ...
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17
The processing of biologically plausible and implausible forms in American Sign Language: evidence for perceptual tuning ...
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18
The processing of biologically plausible and implausible forms in American Sign Language: evidence for perceptual tuning ...
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19
The processing of biologically plausible and implausible forms in American Sign Language: evidence for perceptual tuning ...
Almeida, Diogo; Poeppel, David; Corina, David. - : Taylor & Francis, 2016
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20
The processing of biologically plausible and implausible forms in American Sign Language: evidence for perceptual tuning ...
Almeida, Diogo; Poeppel, David; Corina, David. - : Taylor & Francis, 2016
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