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1
Using recent BCI literature to deepen our understanding of clinical neurofeedback: A short review
In: ISSN: 0306-4522 ; EISSN: 1873-7544 ; Neuroscience ; https://hal.inria.fr/hal-01728767 ; Neuroscience, Elsevier - International Brain Research Organization, 2018, 378, pp.225-233. ⟨10.1016/j.neuroscience.2018.03.013⟩ (2018)
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2
Electrocorticographic representations of segmental features in continuous speech
Brunner, Peter; Brumberg, Jonathan S.; Lotte, Fabien. - : Frontiers Media, 2016
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3
Electrocorticographic Representations of Segmental Features in Continuous Speech
In: ISSN: 1662-5161 ; Frontiers in Human Neuroscience ; https://hal.inria.fr/hal-01159163 ; Frontiers in Human Neuroscience, Frontiers, 2015, 9 (97), pp.27. ⟨10.3389/fnhum.2015.00097⟩ (2015)
Abstract: International audience ; Acoustic speech output results from coordinated articulation of dozens of muscles, bones and cartilages of the vocal mechanism. While we commonly take the fluency and speed of our speech productions for granted, the neural mechanisms facilitating the requisite muscular control are not completely understood. Previous neuroimaging and electrophysiology studies of speech sensorimotor control has typically concentrated on speech sounds (i.e., phonemes, syllables and words) in isolation; sentence-length investigations have largely been used toinform coincident linguistic processing. In this study, we examined the neural representations of segmental features (place and manner of articulation, and voicing status) in the context of fluent, continuous speech production. We used recordings from the cortical surface electrocorticography (ECoG)) to simultaneously evaluate the spatial topography and temporal dynamics of the neural correlates of speech articulation that may mediate the generation of hypothesized gestural or articulatory scores. We found that the representation of place ofarticulation involved broad networks of brain regions during all phases of speech production: preparation, execution and monitoring. In contrast, manner of articulation and voicing status were dominated by auditory cortical responses after speech had been initiated. These resultsprovide a new insight into the articulatory and auditory processes underlying speech production in terms of their motor requirements and acoustic correlates.
Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SDV.BIO]Life Sciences [q-bio]/Biotechnology; [SDV.IB]Life Sciences [q-bio]/Bioengineering; [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]; electrocorticography (ECoG); manner of articulation; place of articulation; speech processing; voicing
URL: https://hal.inria.fr/hal-01159163/file/Frontiers15.pdf
https://hal.inria.fr/hal-01159163
https://hal.inria.fr/hal-01159163/document
https://doi.org/10.3389/fnhum.2015.00097
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4
Electrocorticographic representations of segmental features in continuous speech
Lotte, Fabien; Brumberg, Jonathan S.; Brunner, Peter. - : Frontiers Media S.A., 2015
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