0:00
/
John Beggs unpacks the critical brain hypothesis
Beggs outlines why and how brains operate at criticality, a sweet spot between order and chaos.
By
Paul Middlebrooks
21 May 2025 | 94 min watch
In this “Brain Inspired” episode, John Beggs, professor of physics at Indiana University Bloomington, joins Paul Middlebrooks to discuss criticality in brain activity. Systems that operate at criticality, a state between too much order and too much chaos, are optimized for computing and information transmission, among other beneficial properties. Beggs and Middlebrooks also discuss challenges around measuring criticality, criticisms of the criticality hypothesis, and a wide range of past and current research on the topic.
Read the transcript.
tags:
Recommended reading
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
By
Paul Middlebrooks
11 February 2026 | 1 min read
Michael Shadlen explains how theory of mind ushers nonconscious thoughts into consciousness
By
Paul Middlebrooks
28 January 2026 | 1 min read
Explore more from The Transmitter
Grace Hwang and Joe Monaco discuss the future of NeuroAI
By
Paul Middlebrooks
4 December 2024 | 97 min listen
Hessameddin Akhlaghpour outlines how RNA may implement universal computation
By
Paul Middlebrooks
26 November 2024 | 107 min listen
Imagining the ultimate systems neuroscience paper
By
Mark Humphries
2 December 2024 | 7 min read
Cite this article: