Does the brain behave like a (complex) network? I. Dynamics

D Papo, JM Buldú - Physics of Life Reviews, 2023 - Elsevier
Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

Quantum Neurobiology

M Swan, RP dos Santos, F Witte - Quantum Reports, 2022 - mdpi.com
Quantum neurobiology is concerned with potential quantum effects operating in the brain
and the application of quantum information science to neuroscience problems, the latter of …

The controllosphere: The neural origin of cognitive effort.

CB Holroyd - Psychological Review, 2024 - psycnet.apa.org
Why do some mental activities feel harder than others? The answer to this question is
surprisingly controversial. Current theories propose that cognitive effort affords a …

Voxel-wise brain graphs from diffusion MRI: Intrinsic eigenspace dimensionality and application to functional MRI

H Behjat, A Tarun, D Abramian… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Goal: Structural brain graphs are conventionally limited to defining nodes as gray matter
regions from an atlas, with edges reflecting the density of axonal projections between pairs …

Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present

D Zhou, Y Kang, D Cosme… - Proceedings of the …, 2023 - National Acad Sciences
Mindful attention is characterized by acknowledging the present experience as a transient
mental event. Early stages of mindfulness practice may require greater neural effort for later …

Control adjustment costs limit goal flexibility: Empirical evidence and a theoretical account

I Grahek, X Leng, S Musslick, A Shenhav - bioRxiv, 2023 - biorxiv.org
The ability to switch between goals is the cornerstone of human cognition and behavior.
Cognitive control allows for rapid adjustments of cognition in accordance with new goals, but …

Energy-information trade-off induces continuous and discontinuous phase transitions in lateral predictive coding

ZY Huang, R Zhou, M Huang, HJ Zhou - Science China Physics …, 2024 - Springer
Lateral predictive coding is a recurrent neural network that creates energy-efficient internal
representations by exploiting statistical regularity in sensory inputs. Here, we analytically …

Deep Learning-based analysis of Diffusion MRI image data from multicenter studies and from glioma patients

LD Weninger, S Müller, D Merhof - 2023 - publications.rwth-aachen.de
Diffusions-MRT ist die einzige nicht-invasive und nicht-schädigende Neuroimaging-
Methode zur Untersuchung der In-vivo-Mikroarchitektur und der strukturellen Konnektivität …

Human Intelligence and the Connectome are Driven by Structural Brain Network Control

ED Anderson, LR Varshney, B Hemmatian… - bioRxiv, 2023 - biorxiv.org
Research in network neuroscience demonstrates that human intelligence is shaped by the
structural brain connectome, which enables a globally coordinated and dynamic architecture …

[HTML][HTML] In the Brain, Function Follows Form

S Schiff - Physics, 2022 - APS
Developing a physics for the brain is a daunting task that has obsessed scientists since
large-scale brain-activity measurements became available half a century ago. Advances in …