The scientists first made sound recordings of five male animals flying around in a soundproofed room. Each of the animals had to distinguish in the following training between the calls of two different conspecifics whose calls the researchers played to him. If the bats were correct in their selection, they were rewarded with a mealworm. The animals were successful in this training phase in three out of four cases, the researchers played in further tests before the calls of a known animal and recordings of completely unknown individuals. Here, the researchers were able to observe in the animals the ability to clearly distinguish between known animals and unknown conspecifics.
The researchers also simulated the ability to differentiate between individuals in a computer model and deduced how the animals would behave in real life. The results matched well with the observations. The scientists conclude that the animals can learn typical characteristics of these echo sounding calls and thus distinguish individual individuals.Yossi Yovel (University of Tübingen) et al .: PLOS Computational Biology, doi: 10.1371 / journal.pcbi.1000400 ddp / science.de? Ulrich Dewald ad