An Empirical Study on the Motivation of Helping Behavior in Rats
Han, S.; Chen, Y.-Q.; Zheng, B.; Wang, Y.-X.; Yin, B.
Show abstract
Using rodent models to explore the motivation of helping behaviors has become a new trend in recent years. Empathy, the alleviation of personal distress, and desire for social contact have been considered motivations for rodents to engage in helping behaviors. We used 108 Sprague-Dawley rats as subjects and modified the two-chambered helping behavior experimental setup in Carvalheiro and colleagues study to explore the main motivations of helping behavior in rodents through three experiments. The findings suggest that (1) the desire for social contact and pursuit of an interesting environment are the primary motivations for helping behavior, regardless of the presence of a dark chamber, and (2) the alleviation of personal distress and prior experience of social contact rather than distress experience contribute to the onset and persistence of helping behavior.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Adapting the novel-object recognition task to quantify how much attention rodents allocate to motivationally-salient objects 93%
- Training level reveals a dynamic dialogue between stress and memory systems in birds 93%
- The role of serotonin in modulating social competence in a cooperatively breeding fish 91%
Similar papers in this journal
- An exploratory study of behavioral traits and the establishment of social relationships in female laboratory rats 96%
- Social influences on delayed gratification in New Caledonian crows and Eurasian jays 93%
- A novel application tunnel in combination with medical training reduces stress induced by frequent intraperitoneal injections and blood sampling in mice 93%
Similar papers in this journal
- Neuronal, Affective, and Sensory Correlates of Targeted Helping Behavior in Male and Female Sprague Dawley Rats 95%
- Beyond single discrete responses: An integrative and multidimensional analysis of behavioral dynamics assisted by Machine Learning 93%
- Social Learning of a Spatial Task by Observation Alone 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.