Shiomi Hakataya

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

This study identifies diverse ultrasonic vocalizations in rats beyond the traditional high-short/low-long dichotomy, highlighting the need for broader research into complex affective states.

This study shows rats can spontaneously categorize familiar and unfamiliar conspecifics using a habituation-dishabituation task with multiple stimuli.

This study investigates how auditory feedback linked to locomotion affects rats' spontaneous movement, finding increased locomotion distance when feedback matches movement velocity, but the effect is short-lived.

This study shows that rats prefer joint feeding with unfamiliar non-cagemates over solitary feeding, indicating a high degree of social tolerance and prosocial behavior.

The paper compares oxytocin sequence and expression between domesticated Bengalese finches and wild munias, finding reduced OT mRNA expression in finches.