Xiaosha Wang

Causal evidence for a shared mechanism linking language and tool use via the putamen

The paper identifies the putamen as a neural substrate supporting goal-dependent sequence integrity for both language and tool use, showing early language experience strengthens this mechanism.

Semantics across the globe: A universal neurocognitive semantic structure adaptive to climate

The paper identifies a universal neurocognitive semantic structure across languages, showing that semantic variations are primarily influenced by climate rather than sociocultural factors.

Unraveling the impact of congenital deafness on individual brain organization

This study investigates individual differences in brain reorganization due to congenital deafness, finding greater functional connectivity variability in deaf individuals compared to hearing individuals, influenced by language experience.

Cortical connectivity supports motoric synchronization to both auditory and visual rhythms in a frontal-temporal network

The paper identifies a common frontal-temporal network for motor synchronization to auditory and visual rhythms, showing it is based on intrinsic cortical connections rather than sensory experience.

Neural correlates of an illusionary sense of agency caused by virtual reality

This study uses virtual reality to investigate the neural correlates of an illusionary sense of agency during passive observation, finding increased temporal binding linked to the right angular gyrus and inferior parietal lobule.

Early-life language deprivation affects specific neural mechanisms of semantic representations

The paper investigates how early-life language deprivation affects neural mechanisms of semantic representations using fMRI in early deaf adults compared to sign language-acquiring controls.

Idiosyncratic Tower of Babel: Individual differences in word meaning representation increase along abstractness

The paper investigates individual differences in word meaning representation, finding that disagreement increases with word abstractness using behavioral and neuroimaging data.

Computational mechanisms for neural representation of words

The paper compares word computation mechanisms using fMRI data to determine which models best explain neural activity patterns related to language processing.

Visual featural topography in the human ventral visual pathway

The paper maps visual features in the human ventral visual pathway using fMRI and computational models, linking feature combinations to response-action systems.