Cita APA (7a ed.)

Okamoto, N., Akama, H., & Akama, H. (2021). Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling. Frontiers Media S.A.

Cita Chicago Style (17a ed.)

Okamoto, Naoki, Hiroyuki Akama, y Hiroyuki Akama. Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling. Frontiers Media S.A, 2021.

Cita MLA (8a ed.)

Okamoto, Naoki, et al. Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling. Frontiers Media S.A, 2021.