21 citations · 38 across the 5 of their papers we have counts for
5 papers
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar J Kobler, Jun-ichiro Hirayama, Qibin Zhao +1
Electroencephalography (EEG) provides access to neuronal dynamics non-invasively with millisecond resolution, rendering it a viable method in neuroscience and healthcare. However,…
On the interpretation of linear Riemannian tangent space model parameters in M/EEG
Reinmar J. Kobler, Jun-Ichiro Hirayama, Lea Hehenberger Catarina Lopes-Dias +2
Riemannian tangent space methods offer state-of-the-art performance in magnetoencephalography (MEG) and electroencephalography (EEG) based applications such as brain-computer inter…
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments
Yu Takagi, Laurence T. Hunt, Ryu Ohata +2
Multi-regional interaction among neuronal populations underlies the brain's processing of rich sensory information in our daily lives. Recent neuroscience and neuroimaging studies…
Demixed shared component analysis of neural population data from multiple brain areas
Yu Takagi, Steven W. Kennerley, Jun-ichiro Hirayama +1
Recent advances in neuroscience data acquisition allow for the simultaneous recording of large populations of neurons across multiple brain areas while subjects perform complex cog…
Bregman divergence as general framework to estimate unnormalized statistical models
Michael Gutmann, Jun-ichiro Hirayama
We show that the Bregman divergence provides a rich framework to estimate unnormalized statistical models for continuous or discrete random variables, that is, models which do not…