30 citations · 55 across the 3 of their papers we have counts for
3 papers
Multiple-view clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto
In neuroscience, the functional magnetic resonance imaging (fMRI) is a vital tool to non-invasively access brain activity. Using fMRI, the functional connectivity (FC) between brai…
Connectivity Inference from Neural Recording Data: Challenges, Mathematical Bases and Research Directions
Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya
This article presents a review of computational methods for connectivity inference from neural activity data derived from multi-electrode recordings or fluorescence imaging. We fir…
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu +8
We propose a novel method for multiple clustering that assumes a co-clustering structure (partitions in both rows and columns of the data matrix) in each view. The new method is ap…