Bo Hong

The paper introduces LAND, a framework for improving movement decoding in BCIs by aligning neural and behavioral dynamics using unpaired data, achieving better generalization across movement speeds and subjects.

The paper presents 320 nearly-complete East Asian genome assemblies, revealing new genetic diversity and structural variations not present in existing global pangenomes.

This study shows that place and grid cells complement each other through reciprocal connections to achieve robust and efficient spatial representation in the brain.

The paper introduces a Hebbian-like Kuramoto model to simulate brain wave dynamics and shows it can reproduce dominant wave activity in human brain functional MRI signals.

This paper introduces WOCCA to decompose whole-brain alpha-band EEG into directional traveling waves, showing differences in wave patterns between rest and sedation states.

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.

This study shows that neural coupling between speakers and listeners occurs before speech onset and correlates with comprehension, suggesting predictive attentional mechanisms.

The paper examines how object representations evolve over time in the human visual cortex using intracranial EEG recordings and representational similarity analysis.

This study investigates infant cerebral blood flow dynamics and their role in the emergence of functional networks like the default-mode network using multi-modal MRI.

This paper identifies the medial sector of the auditory thalamus (ATm) as an interface that transforms alerting environmental cues into internal arousal and emotional state changes in mice.

This study investigates how emotional sounds are processed in the brain, finding that different regions respond to either the presented or perceived emotion.

The paper examines how preparatory delta phase responses correlate with speech comprehension performance using EEG data from naturalistic speech tasks.

The paper identifies a neural link between the lateral occipital cortex and inferior frontal cortex in late blind individuals and shows it correlates with Braille reading proficiency.

This paper uses deep machine learning to reconstruct lost BOLD signals in individual participants, showing good correlation with original signals and functional connectivity maps.

This paper introduces RNcut, a method for robust and homogeneous brain network parcellation in neonates and adults, showing improved performance over existing methods in simulated and real rs-fMRI data.