Masayoshi Murakami

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

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

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

The paper uses hidden Markov models to show metastable attractors explain variable timing in stable behavioral action sequences in rats.

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.

The paper identifies a repertoire of decision variables in the mouse brain during foraging, showing that the secondary motor cortex encodes multiple strategies beyond those directly used in the task.

This study shows that optogenetic activation of dorsal raphe serotonin neurons in mice increases learning rates for rewards after long inter-trial intervals based on recent reinforcement history.

This study shows that activating dorsal raphe serotonergic neurons increases mice's ability to wait for delayed rewards without affecting appetitive or aversive responses.