A synergistic workspace for human consciousness revealed by integrated information decomposition

AI Luppi, PAM Mediano, FE Rosas, J Allanson… - BioRxiv, 2020 - biorxiv.org
A central goal of neuroscience is to understand how the brain synthesises information from
multiple inputs to give rise to a unified conscious experience. This process is widely …

Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics

AI Luppi, HM Gellersen, ZQ Liu, ARD Peattie… - Nature …, 2024 - nature.com
Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …

The Brain's Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge

X Wang, K Krieger-Redwood, B Lyu… - Journal of …, 2024 - Soc Neuroscience
Adaptive behavior relies both on specific rules that vary across situations and stable long-
term knowledge gained from experience. The frontoparietal control network (FPCN) is …

Modeling the neurocognitive dynamics of language across the lifespan

C Guichet, S Banjac, S Achard… - Human Brain …, 2024 - Wiley Online Library
Healthy aging is associated with a heterogeneous decline across cognitive functions,
typically observed between language comprehension and language production (LP) …

Harmonizing program induction with rate-distortion theory

H Zhou, DG Nagy, CM Wu - arXiv preprint arXiv:2405.05294, 2024 - arxiv.org
Many aspects of human learning have been proposed as a process of constructing mental
programs: from acquiring symbolic number representations to intuitive theories about the …

Quantifying synergy and redundancy between networks

AI Luppi, E Olbrich, C Finn, LE Suárez… - Cell Reports Physical …, 2024 - cell.com
Understanding how different networks relate to each other is key for understanding complex
systems. We introduce an intuitive yet powerful framework to disentangle different ways in …

Irruption and Absorption: A 'Black-Box'Framework for How Mind and Matter Make a Difference to Each Other

T Froese - Entropy, 2024 - mdpi.com
Cognitive science is confronted by several fundamental anomalies deriving from the mind–
body problem. Most prominent is the problem of mental causation and the hard problem of …

[PDF][PDF] Default mode network anti-correlation as a transdiagnostic biomarker of cognitive function

V Tripathi, I Batta, A Zamani, DA Atad, S Sheth, J Zhang… - 2024 - osf.io
The default mode network (DMN) is intricately linked with processes such as self-referential
thinking, episodic memory recall, self-projection, and understanding the mindset of others …

Characterising directed and undirected metrics of high-order interdependence

FE Rosas, PAM Mediano, M Gastpar - arXiv preprint arXiv:2404.07140, 2024 - arxiv.org
Systems of interest for theoretical or experimental work often exhibit high-order interactions,
corresponding to statistical interdependencies in groups of variables that cannot be reduced …

Predictive learning shapes the representational geometry of the human brain

A Greco, J Moser, H Preissl, M Siegel - bioRxiv, 2024 - biorxiv.org
Predictive coding theories propose that the brain constantly updates its internal models of
the world to minimize prediction errors and optimize sensory processing. However, the …