Masanobu Kano

This study identifies PQBP1-dependent alternative RNA splicing as a mechanism underlying HFD-induced cognitive impairment through effects on synaptic vesicle release.

The paper shows that climbing fiber inputs in the cerebellum generate reward-prediction errors that guide modular reinforcement learning in mice, integrating with supervised learning mechanisms.

The paper introduces T-scope V4, a miniaturized microscope that enables simultaneous neuronal activity imaging and optogenetic manipulation in freely moving mice by preventing biological crosstalk.

The paper analyzes two-photon imaging data from mice during reinforcement learning to show cerebellar climbing fiber responses are organized into four functional components that reduce learning space dimensions.

The paper shows that cerebellar climbing fibers encode multiple behavioral variables and are organized into functional modules in mice.

CaliAli improves neuronal tracking in calcium imaging by aligning sessions before extracting features, enhancing detection of weak signals and enabling long-term dynamics analysis.

This study investigates the role of AUTS2 in cerebellar development, Purkinje cell maturation, and behavioral functions, finding that its loss leads to cerebellar defects and behavioral impairments linked to ASDs.

This paper introduces HA_time, a hyperacuity algorithm for precise spike timing estimation from calcium imaging, achieving up to 20-fold improvement in spike time precision.

This study shows that impaired methylglyoxal detoxification in mice leads to mitochondrial dysfunction and schizophrenia-like behaviors.