Yoichi Miyawaki

This study introduces a block-structured Bayesian model for MEG source estimation that integrates functional brain areas and inter-areal relationships, improving accuracy in localizing neural activity.

This study uses VASO 7T layer fMRI and MVPA to show that face information is structured in the middle layer of the fusiform face area during face processing.

This study shows that rapid neural information can be decoded from ultra-fast fMRI signals using multivariate pattern decoders, achieving significant accuracy within 2 seconds of stimulus onset.

This paper introduces a functionally-structured Bayesian model to improve MEG source estimation accuracy and reduce information spreading.

The paper develops acquisition protocols and processing pipelines for whole-brain layer-fMRI and introduces the Kenshu dataset for benchmarking and analysis.

This study shows that human gaze is more attracted to higher-order visual features than lower-order features or conventional saliency, both spatially and temporally during natural scene viewing.

This study explores whether humans can perceive ownership of an independent artificial limb, finding that while challenging, embodiment is possible.