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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
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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 ...
Abstract: Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that the listener's probability distribution over lexical items is weighted by the outcome of both computations: uncertainty about phonological discretisation and the frequency of the selected word(s). To test this, we record neural responses in auditory cortex using magnetoencephalography, and model this activity as a function of the size and relative activation of lexical candidates. Our findings indicate that towards the beginning of a word, the processing system indeed weights lexical candidates by both phonological certainty and lexical frequency; however, later into the word, activation is weighted by frequency alone. ... : 6 pages, 4 figures, accepted at: Cognitive Modeling and Computational Linguistics (CMCL) 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1711.06729
https://arxiv.org/abs/1711.06729
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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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