Recognition of Spoken Words from MEG Data Using Covariance Patterns
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44865-2_18
Reference16 articles.
1. Anumanchipalli, G.K., Chartier, J., Chang, E.F.: Speech synthesis from neural decoding of spoken sentences. Nature 568(7753), 493–498 (2019). https://doi.org/10.1038/s41586-019-1119-1
2. Norman-Haignere, S.V., et al.: Multiscale temporal integration organizes hierarchical computation in human auditory cortex. Nat. Hum. Behav. 6(3), 455–469 (2022). https://doi.org/10.1038/s41562-021-01261-y
3. Tang, J., LeBel, A., Jain, S., Huth, A.G.: Semantic reconstruction of continuous language from non-invasive brain recordings. Nat. Neurosci. (2023). https://doi.org/10.1038/s41593-023-01304-9
4. Neymotin, S.A., et al.: Detecting spontaneous neural oscillation events in primate auditory cortex. Eneuro, 9(4), ENEURO.0281-21 (2022). https://doi.org/10.1523/ENEURO.0281-21.2022
5. Anurova, I., et al.: Event-related responses reflect chunk boundaries in natural speech. Neuroimage 255, 119203 (2022). https://doi.org/10.1016/j.neuroimage.2022.119203
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