Ryoya Tanaka

This study identifies a male-specific role for SP-SPR signaling in regulating mating-induced Sex peptide replenishment in Drosophila, suggesting an ancestral function before its known role in female post-mating responses.

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

The paper compares mating behaviors of three Drosophila species to explore the genomic and neural basis of rapid behavioral divergence.

This study shows that dopaminergic signaling via Dop1R2 modulates auditory sensory neuron responses in Drosophila females based on their mating status, affecting song response behavior.

YORU uses deep learning to detect social behaviors in animals by analyzing their appearance, enabling real-time optogenetic feedback during interactions.

This study identifies reciprocal neural circuits between pC1 and pCd-2 neurons in Drosophila that mediate song preference learning through GABAergic and dopaminergic inputs.