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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-09-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02534-y |