Turing's cascade instability supports the coordination of the mind, brain, and behavior
Damian G. Kelty-Stephen, Madhur Mangalam

TL;DR
This paper explores Turing's cascade instability as a geometrical framework that links mind, brain, and behavior through power laws and multifractal analysis, offering an alternative to the traditional computer metaphor.
Contribution
It introduces the concept of cascade instability as a unifying framework for understanding cognitive, neural, and behavioral phenomena across multiple scales.
Findings
Evidence of cascade signatures in neural activity and behavior.
Multifractal analysis reveals power-law dynamics in cognitive and motor functions.
Neuronal avalanches demonstrate brain-wide cascade participation.
Abstract
Turing inspired a computer metaphor of the mind and brain that has been handy and has spawned decades of empirical investigation, but he did much more and offered behavioral and cognitive sciences another metaphor--that of the cascade. The time has come to confront Turing's cascading instability, which suggests a geometrical framework driven by power laws and can be studied using multifractal formalism and multiscale probability density function analysis. Here, we review a rapidly growing body of scientific investigations revealing signatures of cascade instability and their consequences for a perceiving, acting, and thinking organism. We review work related to executive functioning (planning to act), postural control (bodily poise for turning plans into action), and effortful perception (action to gather information in a single modality and action to blend multimodal information). We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural dynamics and brain function · Fractal and DNA sequence analysis · Complex Systems and Time Series Analysis
