Watch: Ronan the Sea Lion demonstrates better rhythm skills on humans

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A 16 -year -old sea lion named Ronan, who maintains a beet.

She improves chimpanzee, lamers and some humans in rhythm.

Ronan hits the beat within 15 consecutive milliseconds accuracy.

A recent study has shown that a 16 -year -old California’s sea lion, named Ronan, has an extraordinary ability, which has an extraordinary ability to improve chimpanzees, lamers and even some humans. BBC Science Focus. Ronan’s talent lies in their adaptability to synchronize their movements with a new rhythm, demonstrating a unique understanding of the time of music. In its most practice tempo, she hits within 15 milliseconds continuously. For comparison, the literal nap of an eye is about 150 milliseconds.

Watch the video here:

https://www.youtube.com/watch?v=1ZZC18B8ZW0

“Any other non-human animal is not as accurate and consistent as Ronon,” Professor Peter Cook, the lead writer of the study and a comparative neurocientist at Florida, Florida, said, BBC Science Focus.

“However, Ronon did not use as accurate and consistent as he is now.”

Cook and his colleagues first trained Ronan in Rhythm Dharna in 2012, when she was just three years old. At that time, she was already the best non-human beet keeper on records.

But some scientists questioned whether his performance actually matches adult humans. She showed more variability to beat the beat, and unlike human listeners, she went slightly ahead of the beat at the slow pace and lagged behind the people rapidly. (Humans, by contrast, strike ahead of the beat.)

“Most human rhythm data is on adults, with decades of informal rhythmic experience – dancing, tapping the feet for music, and so on,” Cook said.

“We tested Ronon when he was originally a child … now when Ronan is a fully developed adult marine lion, and now that he has more practice and experience, how does he measure humans?”

To find out, the team asked 10 California University, Santa Cruise, Graduate Students to copy Ronan’s head-bobbing motion using a large, fluid hand movement. He then compared it with his own performance in Ronan’s three tempo, two of which he had not faced earlier.

He beat the students in continuity and accuracy, even after landing 10,000 humans, descending in the 99th percent of a model.