Research
Machine learning reveals how often fish schooling evolved—and repeatedly disappeared
Phys.org ·
The Brief
- Researchers used new machine learning techniques to study the evolution of fish schooling across thousands of species.
- The findings, published Nov. 6 in the Proceedings of the National Academy of Sciences, indicate that schooling evolved multiple times and also repeatedly disappeared.
- The study addresses a question that previously had no established method for investigation.
Why it matters
The work offers a way to study how collective behaviour evolves across many species at once, which had not been practical before. It suggests that schooling is not a one-way trait, which matters for how biologists reconstruct the evolutionary history of fish behaviour.
Who’s affected
- evolutionary biologists
- researchers studying animal collective behaviour and fish ecology
- #fish
- #schooling
- #evolution
- #machine learning
- #collective behavior
Scientists have used new machine learning techniques to investigate a topic no one has ever found a way to study: the evolution of fish moving together in schools across thousands of species. The new paper, published Nov. 6 in the Proceedings of the National Academy of Sciences…
Timeline
Paper published in the Proceedings of the National Academy of Sciences
Biology News - Evolution, Cell theory, Gene theory, Microbiology, Biotechnology
Machine learning reveals how often fish schooling evolved—and repeatedly disappeared