I work in the field. The main takeaway is zebra finches (maybe other songbirds) can discriminate vocalizations based on function, even if they sound similar.
Generally, birds can tell apart categories of sounds e.g. vocalizations from different individual birds, male vs female, call vs song, conspecific vs heterospecific etc. The question is if birds can do it for specific function e.g. agonistic calls vs non-agonistic calls. Simple question but way harder to test because of associated contextual info. with vocalizations.
The paper is culmination of last decade of work (includes many of the past works) but this is the new result.
A lot of interesting information here, but this one paragraph blew my mind:
> Although the birds occasionally made mistakes, they more often confused calls with similar meanings rather than similar sounds. “Their responses indicated they have a mental imagery of the meaning of their vocalisations,” Elie said. “In other words, that they understand the meaning of their call types.”
I remember hearing about an interesting paper; it argued that Zebra finch songs were as complex as recursively enumerable languages on the Chomsky hierarchy. I wanted to see if I could find it but came across another paper arguing that their embedded context sensitivity can be explained by simpler rules.
https://www.pnas.org/doi/10.1073/pnas.0908113106
Just the same, these little fellows are some of the cutest on our planet.Left this comment as another computer science connection.
No doubts the crows are all having a good laugh at our expense.
Does anyone have a link to a decoded message?
Another win for machine learning:
>She then applied machine learning to analyse how information was encoded in the calls before testing her findings through behavioural experiments.
Very interesting topic, but a strange choice of source. I'd recommend these instead:
Coller foundation press release: https://www.jeremycollerfoundation.org/news-and-insights/pre...
The actual publication in Science: https://www.science.org/doi/10.1126/science.ads8482