Ryosuke F. Takeuchi

Causal Discovery of Synchronous Neural Oscillations based on Jacobian-informed VAR-LiNGAM

This paper introduces j-VAR-LiNGAM, a causal discovery method for synchronous neural oscillations, and shows it identifies causal hierarchies in brain networks using synthetic and empirical data.

Thalamus-cortex interactions drive cell type-specific cortical development in human pluripotent stem cell-derived assembloids

This study uses human thalamocortical assembloids to show that thalamus-cortex interactions drive cell type-specific cortical development through gene expression, circuit organization, and activity patterns.

Weak and tunable adhesion-clutch drives rapid cell migration and glioblastoma motility

The paper identifies a weak, integrin-independent adhesion-clutch mechanism involving shootin1 and L1 that enables rapid cell migration and glioblastoma motility by transmitting weak traction forces.

Conversion of silent synapses to AMPA receptor-mediated functional synapses in human cortical organoids

This study shows that human cortical organoids develop functional synapses with AMPA receptors, transitioning from silent synapses to active ones as they mature.

YORU: social behavior detection based on user-defined animal appearance using deep learning

YORU uses deep learning to detect social behaviors in animals by analyzing their appearance, enabling real-time optogenetic feedback during interactions.

A mosaic adeno-associated virus vector as a versatile tool that exhibits high levels of transgene expression and neuron specificity in primate brain

The paper develops a mosaic AAV vector that achieves high transgene expression and neuron specificity in primate brains, enabling effective chemogenetic manipulation and calcium imaging.

Modeling the marmoset brain using embryonic stem cell-derived cerebral assembloids

This paper develops an in vitro marmoset brain model using cerebral assembloids to study neural development and activity.

Posteromedial cortical networks encode visuomotor prediction errors.

The paper investigates how prediction errors are processed hierarchically in the mouse cortex using virtual reality and identifies a role for Bayesian inference in modeling mismatch responses.