Masashi Shiraishi

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.

Avoidance of simultaneous patch use in Japanese large-footed bats

This study shows Japanese large-footed bats avoid simultaneous foraging in the same patch, reducing prey-attack rates, and do not favor earlier arrivals, suggesting they leave shared patches to maintain efficiency.

Self-organized acoustic behavior in bats arises from simple rules

The paper studies self-organized vocal behavior in bats, finding that simple rules govern frequency adjustments in response to jamming stimuli, reducing echolocation conflicts in groups.