Misako Komatsu

This paper introduces TWINDEX, a method for detecting and analyzing neural traveling waves in 3D spatiotemporal data, and applies it to ECoG and EEG data to identify alpha/low-beta waves with directional propagation.

The paper introduces DIFF, a method to map directed information flow in cortical networks, and shows it reveals distinct trajectories from traveling waves in simulations and electrophysiological recordings.

The paper investigates macro-scale cortical dynamics during marmoset vocal interactions, identifying traveling waves that integrate perception, response selection, and vocal production.

This study examines predictive coding irregularities in a non-human primate ASD model, finding sensory hypersensitivity and unstable predictions across brain hierarchies with diverse error configurations.

This paper introduces a real-time ECoG simulator using a Variational Bayesian Recurrent Neural Network to predict and update brain states from primate data, enabling virtual drug administration and functional network analysis.

The paper investigates whether cortical interactions during prediction error processing are synergistic or redundant, finding that both ERPs and broadband signals show high synergy across the cortical hierarchy.

This study shows that CRTC1 knockdown in marmosets leads to epileptic responses and abnormal cFOS expression, with associated neural activity changes and lesions.

The paper investigates hierarchical predictive auditory processing in marmoset brains using fMRI and ECoG, showing a gradient from local to global processing across brain regions.

The paper investigates whether prediction error in the primate auditory cortex is linked to neural oscillations or broadband activity, finding that broadband activity captures the prediction error response.

The paper introduces EECoG-Comp, an open-source platform for analyzing EECoG data, and evaluates four ESI methods on a real dataset and simulations, highlighting their limitations.