Mapping content and dynamics in the stream of consciousness through latent brain state analysis

2025/10/15 by Yuhua Yu, Quentin Raffaelli, Delaney Freveletti +5 · 1 voice · 2 citations
Neuroscience · #Brain mapping #Consciousness #Control (management) #Default mode network #Dynamics (music) #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies #Mind-wandering #Network dynamics #Novelty #Novelty detection #State (computer science)

paper · doi:10.1016/j.isci.2025.113755

published in iScience 28(11), 113755 (Cell Press)

openalex publication_date 2025/10/15 · openalex created_date 2025/10/16 · openalex updated_date 2026/07/23

Abstract

, signaling novelty and internal event boundaries. Our findings reveal a multistage architecture of unprompted thoughts, where DMN subsystems interact with attention and control networks to scaffold their fluid progression.

Citations

• Large language models surpass human experts in predicting neuroscience results
• Modular Brain Networks
• Validity and Reliability of the Experience-Sampling Method

Discussions

• Now that we have Hidden Markov Models do we still need correlation matrices?? 😀 For example, this looks cool. (I'm aware that HMMs are not new, I played with them in grad school...) doi.org/10.1016 [bsky, 39 points, 1 comments]

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