Matthew J. Boring

The paper maps gradients of neural timescales and functional connectivity in the cortex and shows their relationship to perceptual behavior.

This study uses machine learning and spectral graph theory to show that DBS increases high beta-gamma synchrony in a cortical network involving motor and cognitive areas.

This study maps word- and face-selective regions in human ventral temporal cortex using intracranial recordings and fMRI, revealing distinct temporal dynamics and spatial organization.

This study uses intracranial recordings to show that individual face and word representations in human ventral temporal cortex start in domain-selective areas and later involve distributed regions.

SCOTS maps brain function from neural time series by integrating spatio-temporal dependence through dimensionality reduction and classification, revealing category-specific neural activation patterns.

This study shows that the left mid-ventral temporal cortex (lmVTC) individuates real words through interactions with anterior temporal and visual regions, distinguishing them from pseudowords and other stimuli.

This study compares high-density EEG (SND) with standard density (ND) in capturing spatiotemporal aspects of early visual processing, finding SND provides more accurate and detailed neural information.