Shuntaro Sasai

Heightened gaze responsiveness and mutual gaze instability at close distances characterize dyadic coordination in a marmoset model of autism

This study examines dyadic coordination in a marmoset model of autism, finding heightened gaze responsiveness and unstable mutual gaze at close distances in affected pairs.

Seeing from the inside out: Intrinsic neural dynamics explain individual differences in movie watching

The paper shows that intrinsic neural dynamics in the right temporo-parieto-occipital junction predict upcoming visual gaze targets during low-saliency periods in movie watching.

Direct Generation of Images from EEG using Schrödinger Bridge

This paper proposes using Schrödinger bridge to generate images from EEG by reversing noise accumulation, improving robustness to inter-subject variability compared to diffusion models.

Association of bidirectional network cores in the brain with perceptual awareness and cognition

This study identifies brain network cores with strong bidirectional interactions using fMRI data and links them to conscious perception and sensorimotor functions.

Delineating neural contributions to electroencephalogram-based speech decoding

This study uses Explainable AI to analyze uhd-EEG signals for speech decoding, showing neural contributions are distinct from EMG artifacts and can be enhanced by denoising.

Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems

The paper introduces a framework to quantify control costs in brain state transitions using a linear stochastic model, identifying key brain regions involved in controlling mean and covariance of neural activity.

Quantifying brain state transition cost via Schrödinger bridge

The paper introduces a framework to quantify brain state transition cost using stochastic optimal control theory and applies it to fMRI data to show a link between transition cost and task difficulty.

A general spectral decomposition of causal influences applied to integrated information

The paper proposes a spectral decomposition of integrated information in linear autoregressive processes to analyze frequency-specific causal influences.

Stimulus set meaningfulness and neurophysiological differentiation: a functional magnetic resonance imaging study

This study uses fMRI to show that neural response differentiation, measured by Lempel-Ziv complexity, correlates with stimulus set meaningfulness, with movies showing the highest differentiation.