Hiroshi Matsui

DiverScan: attention-guided exploratory analysis of animal behaviour across diverse comparative experiments

DiverScan is a deep-learning framework that uses attention mechanisms to analyze animal behavior data, identifying condition-specific features across diverse experiments.

Dynamic adjustment of feeding behavior depending on dominant-subordinate relationship in large-billed crows.

This study shows that subordinate crows adjust their feeding speed in response to dominant crows' movements, while dominants do not adjust their behavior.

Group-level matching behavior in phototaxis of acoel flatworm, Praesagittifera naikaiensis.

This study investigates phototactic behavior in the acoel flatworm Praesagittifera naikaiensis, finding that it follows the matching law, with light exposure affecting the behavior.

Contextual enhancement on binge-like overconsumption of palatable sugar in mice

This study shows that binge-like sugar consumption in mice is context-dependent and persists even after satiety, similar to habitual behaviors.

Social benefits of facial experssion in a cichlid fish: Testing the face concentration hypothesis

This study investigates the social function of facial coloration in cichlid fish, finding it reduces aggression and is controlled by the sympathetic nervous system, independent of mammalian facial expressions.

Extinction burst could be explained by curiosity-driven reinforcement learning

This study shows that extinction bursts in mice can be explained by curiosity-driven reinforcement learning, linking intrinsic motivation to behavioral responses.