Tomoya Nakai

This study uses encoding models to show that language and mathematics share some neural representations but also have distinct cortical organization.

The paper examines how second language proficiency affects brain-LLM alignment across neural layers, finding that higher proficiency correlates with stronger alignment in specific brain regions.

This study investigates how selective attention to different modalities modulates semantic feature decodability in brain activity using fMRI data from six participants.

The paper shows that brain activity during arithmetic problem-solving becomes more similar to artificial neural network representations with age and problem size.

This study uses fMRI to analyze cognitive task representations across 25 tasks, finding subject-specific and subject-invariant structures in cortical regions.

This study uses fMRI and artificial neural networks to show shared representations between ANN and BNN in mathematical operations, with deeper ANN layers improving decoding of novel operators.

This study uses fMRI and encoding models to show that mathematical problems are represented in the brain in a format-invariant way, regardless of being presented in symbolic or natural language form.

The paper quantifies how brain networks decouple from external stimuli during internal cognition using fMRI and a new coupling measure.

The paper investigates whether cognitive function representations are preserved across the cortex, cerebellum, and subcortex using fMRI data and decoding models.

This study examines modality invariance and attention selectivity in the human brain using fMRI, finding that perisylvian regions show both properties and that semantic features are more strongly associated with these phenomena than phonemic features.

This study identifies 25 emotion dimensions in the human brain using fMRI and maps emotion categories on the cortical surface.

The paper uses fMRI and encoding models to reveal hierarchical organization of cognitive tasks and their cortical mapping.

This study shows that native-language advantages in emotional cue recognition are due to unfamiliarity with speech sounds, not cultural expression differences.

The paper examines how music genres are represented in the human brain using fMRI and voxel-wise modeling, finding distinct cortical organizations in the STG explained by spectro-temporal modulation.