3 papers
cs.LG2021
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…
q-bio.NC2021
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…
q-bio.NC2020
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…