Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience
Andreu-Perez et al developed a multivariate pattern analysis for fNIRS data (xMVPA), which is powered by eXplainable Artificial Intelligence (XAI). They demonstrated its application in the context of investigating visual and auditory processing in six-month-old infants and showed that it provided in...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/92e7311fbe7145d8a12d8903b24cf3ed |
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