Takufumi Yanagisawa

This study shows that right hippocampal ripples increase before insight occurs in humans, suggesting a role in non-conscious processing leading to conscious awareness.

This paper demonstrates that micro intravascular electrodes can record high-quality ivEEG signals from cortical and deep veins, enabling better spatial resolution and functional mapping compared to traditional methods.

This paper demonstrates that closed-loop brain-computer interfaces can retrieve intended images using a CLIP latent space, achieving over 80% accuracy, while failing with AlexNet.

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 correlates hippocampal sharp-wave ripples with self-generated thoughts in humans using local field potential recordings and experience sampling.

The paper analyzes hippocampal neural activity during a working memory task and finds that trajectory distance and direction change with memory load and SWR events.

The paper investigates motor and sensory neural processing during swallowing using intracranial electrodes, finding distinct phase-amplitude coupling patterns in the orofacial cortex.

This study uses intracranial EEG to analyze high gamma and beta band oscillations during swallowing phases, identifying distinct neural activities associated with mouth-opening, water-injection, and swallowing.

The paper visualizes phase-amplitude coupling during seizures by creating a video that shows how ripple activity is modulated by low-frequency rhythms.

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