Kazuhisa Shibata

Somatosensory information drives modification of a motor memory

This study shows that somatosensory information alone can modify motor memory, independent of voluntary execution, by using an exoskeleton to replay learned movements.

Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas

The paper shows that task-irrelevant natural scenes induce visual perceptual learning through unsupervised learning, which is not suppressed by attention, unlike artificial stimuli.

Multitasking boosts muscular endurance task performance due to elevated arousal level unattainable by the endurance task alone

This paper shows multitasking can improve muscular endurance performance through increased arousal, not just by reducing interference.

Practice Reshapes the Geometry and Dynamics of Task-tailored Representations

The paper shows that practice optimizes neural representational geometry to enhance task performance by stabilizing and aligning conjunctive neural states that abstract over non-critical task features.

A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection

The paper investigates how transient high-dimensional neural geometry supports stable conjunctive subspaces for context-dependent action selection in humans using EEG decoding.

MRS-measured Glutamate versus GABA reflects excitatory versus inhibitory neural activities in awake mice

The paper shows that MRS-measured Glutamate and GABA levels in awake mice correlate with excitatory and inhibitory neural activities during stimulation and in a Dravet syndrome model.

Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by Decoded fMRI Neurofeedback (DecNef)

This study uses DecNef to show that unconscious exposure-based visual perceptual learning occurs in V1/V2 without conscious perception of motion.

Endogenous controllability of closed-loop brain-machine interfaces for pain.

This study demonstrates how endogenous brain processes influence the effectiveness of closed-loop brain-machine interfaces for pain management.