Chaos · Cognitive Neuroscience

A simple method for detecting chaos in nature

Daniel Toker et al. · Jan 3, 2020

The authors built an automated tool to detect chaos in noisy biological data, showing heart rate variability is random rather than chaotic.

In short

The authors built an automated system to find chaos in noisy biological data where older methods fail. They tested this tool on heart rate recordings and found that the patterns are random rather than chaotic, even during illness. This simple approach gives biologists a reliable way to distinguish between true chaos and random noise in nature.

The summaries on this page were written by a small AI model running on my own computer, from the paper's abstract. They can get details wrong; the paper is the source.

Read it at nature.com (opens in a new tab)

Next in the stack: A trace theory of time perception. →

Field
Cognitive Neuroscience
Authors
Daniel Toker, Friedrich T. Sommer, Mark D’Esposito
Published
Jan 3, 2020
Cited by
173 papers
Theme
Chaos
In the glossary
Chaos
Kept since
Oct 4, 2026
How I rank it
4 of 5
Found by
The discovery feed