Masayuki Matsumoto

This study shows sustained visual signals in the primate cerebellar dentate nucleus are involved in visuomotor associative learning by enhancing discrimination of visual objects based on saccade direction.

The paper shows that visual information propagates as a heterogeneous mixture of stochastic neural population signals across brain-wide regions in monkeys.

The paper measures blood ghrelin and osmolality in monkeys to assess hunger and thirst states under controlled food and water access conditions.

This study identifies distinct roles of the orbitofrontal cortex, ventral striatum, and dopamine neurons in processing counterfactual outcomes during decision-making in monkeys.

The paper develops a noninvasive method to monitor breathing patterns in monkeys by measuring nasal air temperature, showing it accurately reflects respiration and is unaffected by orofacial movements.

This study compares neural population dynamics for continuous and categorical task parameters using state-space analysis and optimal-stimulus paradigms in visual recognition tasks.

This study shows that single-neuron activity in monkeys' reward circuitry reflects prospect theory parameters for risky gambles, with distributed coding across brain regions.

This paper combines prospect theory and reinforcement learning to model gambling behavior in monkeys, finding that probability weighting changes dynamically with reward prediction error.

This study shows that dopamine neurons use a tonic firing mode to continuously track changing reward values in real time.

The paper investigates neural dynamics in reward-related brain regions during expected value computation, finding distinct temporal patterns in orbitofrontal cortex and ventral striatum.