Hikaru Yokoyama

This study compares neural input strategies to motor units in the soleus and medial gastrocnemius during standing, finding distinct patterns of common synaptic input and synchrony.

This study investigates how cortico-muscular coherence changes during split-belt locomotor adaptation, finding temporary decreases followed by increases in coherence with adaptation and de-adaptation.

This paper introduces a convolutional neural network for accurate M/EEG source localization, validated on simulations and real data, showing improved accuracy for both cortical and subcortical regions.

This study shows that fear conditioning in humans leads to distinct movement patterns, and training active defensive movements reduces fear responses long-term.

This study identifies shared muscle synergies between running and functional tests for return to running, finding that walking, single leg hops, and step-up tests show higher synergy with running.

This study uses HDsEMG decomposition to analyze motor neuron firing patterns in the tibialis anterior during human walking, revealing synchronization and task-specific modulation.

The paper investigates muscle synergies in human trunk and lower limb movements, finding 13 fundamental synergies that combine to perform 24 different tasks.

This study decodes gait phase information during motor imagery using EEG and shows that combining motor imagery with action observation improves decoding accuracy.

This paper uses tensor decomposition to quantify spatial and temporal modules and their task-dependent modulation in kinematics and EMG data for walking and running.

This study decodes muscle synergy and individual muscle activation from EEG during walking, finding higher accuracy for synergies and suggesting hierarchical cortical control.