Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience
oleh: Javier Andreu-Perez, Lauren L. Emberson, Mehrin Kiani, Maria Laura Filippetti, Hani Hagras, Silvia Rigato
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-09-01 |
Deskripsi
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 insight into patterns of cortical networks.