Sung-Phil Kim

This study examines if reducing cognitive demand alleviates choice overload, finding that while decisions are faster under low demand, performance does not improve with larger option sets.

The paper shows that bimodal value-coding neurons in the primate putamen maintain both value and modality information in an efficient low-dimensional representation, supporting confident decision-making.

This study examines neural correlates of the assimilation effect in vibrotactile perception using fMRI, finding that connectivity between somatosensory cortex and higher-order regions correlates with in-hand and across-hand assimilation effects.

This paper develops a calibration-free P300 BCI system with real-time performance comparable to offline benchmarks, using pre-trained models and a small electrode setup.

The paper identifies multiple stable brain activation patterns for the same perceptual decision-making task using functional MRI and clustering analysis.

This paper addresses daily calibration challenges in P300-based BCIs by developing a method to extract daily common ERP patterns, improving performance without daily recalibration.

This paper introduces a task-relevant dynamic stimulus design for P300-based BCIs, achieving high accuracy and information transfer rates with reduced calibration needs.

This study examines how concurrent conversation affects ERP-based BCIs, finding that speaking degrades accuracy and ERP amplitude while listening has less impact.

This study examines how motor cortical activity in mice adapts during movement preparation based on the predictability of go timing, finding that predictable timing leads to more accurate movements with longer reaction times.

The paper decodes reaction time and confidence across the cortex at the individual level, finding broader brain-behavior relationships than previously observed.

The paper quantifies the contribution of subject and group factors in brain activation using a new method applied to a perceptual decision-making task.

This paper proposes a computational principle called spatio-temporally efficient coding to assign functions to hierarchical structures of the visual system, showing it can explain known phenomena and optimize bidirectional information transmission.

This paper introduces DIANA-fMRI, a method for high-temporal and spatial resolution imaging of neuronal activity in vivo, demonstrating its ability to capture spiking activity and propagation in mice brains.

The paper investigates whether cognitive tasks linked to future thinking can reduce impulsivity in delay discounting but finds no clear evidence of effectiveness and highlights task repetition effects.