Distinct weak asymmetric interactions shape human brain functions as probability fluxes
Fuente:
arXiv
Saved in:
| Main Authors: | Horiike, Yoshiaki, Fujishiro, Shin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Orthogonal projections of hypercubes
by: Horiike, Yoshiaki, et al.
Published: (2025)
by: Horiike, Yoshiaki, et al.
Published: (2025)
Interdependent scaling exponents in the human brain
by: Castro, Daniel M., et al.
Published: (2024)
by: Castro, Daniel M., et al.
Published: (2024)
Distinguishing thermal versus quantum annealing using probability-flux signatures across interaction networks
by: Horiike, Yoshiaki, et al.
Published: (2025)
by: Horiike, Yoshiaki, et al.
Published: (2025)
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain
by: Calvo, Rubén, et al.
Published: (2024)
by: Calvo, Rubén, et al.
Published: (2024)
Scaling and tuning to criticality in resting-state human magnetoencephalography
by: Topal, Irem, et al.
Published: (2026)
by: Topal, Irem, et al.
Published: (2026)
Metric structural human connectomes: localization and multifractality of eigenmodes
by: Bobyleva, Anna, et al.
Published: (2024)
by: Bobyleva, Anna, et al.
Published: (2024)
Information thermodynamics: from physics to neuroscience
by: Karbowski, Jan
Published: (2024)
by: Karbowski, Jan
Published: (2024)
Exact minimax entropy models of large-scale neuronal activity
by: Lynn, Christopher W., et al.
Published: (2023)
by: Lynn, Christopher W., et al.
Published: (2023)
Beyond catastrophic forgetting in associative networks with self-interactions
by: Vinci, Gianni V., et al.
Published: (2025)
by: Vinci, Gianni V., et al.
Published: (2025)
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics
by: Po, Ho Fai, et al.
Published: (2025)
by: Po, Ho Fai, et al.
Published: (2025)
Absolute abstraction: a renormalisation group approach
by: Caputo, Carlo Orientale, et al.
Published: (2024)
by: Caputo, Carlo Orientale, et al.
Published: (2024)
Network reconstruction may not mean dynamics prediction
by: Yu, Zhendong, et al.
Published: (2024)
by: Yu, Zhendong, et al.
Published: (2024)
Nonequilibrium physics of brain dynamics
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2025)
Emergence of Chimeras States in One-dimensional Ising model with Long-Range Diffusion
by: García, Alejandro de Haro, et al.
Published: (2025)
by: García, Alejandro de Haro, et al.
Published: (2025)
Short-term plasticity recalls forgotten memories through a trampoline mechanism
by: Del Gaudio, Martina, et al.
Published: (2025)
by: Del Gaudio, Martina, et al.
Published: (2025)
The dynamics of neural codes in biological and artificial neural networks
by: Morales, Guillermo B.
Published: (2024)
by: Morales, Guillermo B.
Published: (2024)
Thermodynamics for a network of neurons: Signatures of criticality
by: Tkacik, Gasper, et al.
Published: (2014)
by: Tkacik, Gasper, et al.
Published: (2014)
Robust Scaling in Human Brain Dynamics Despite Latent Variables and Limited Sampling Distortions
by: Calvo, Rubén, et al.
Published: (2025)
by: Calvo, Rubén, et al.
Published: (2025)
Uncovering statistical structure in large-scale neural activity with Restricted Boltzmann Machines
by: Béreux, Nicolas, et al.
Published: (2026)
by: Béreux, Nicolas, et al.
Published: (2026)
Synaptic plasticity alters the nature of chaos transition in neural networks
by: Du, Wenkang, et al.
Published: (2024)
by: Du, Wenkang, et al.
Published: (2024)
Discontinuous phase transition of feature detection in lateral predictive coding
by: Huang, Zhen-Ye, et al.
Published: (2025)
by: Huang, Zhen-Ye, et al.
Published: (2025)
Low dimensional dynamics of a sparse balanced synaptic network of quadratic integrate-and-fire neurons
by: Ageeva, Maria V., et al.
Published: (2025)
by: Ageeva, Maria V., et al.
Published: (2025)
Consciousness via MIPT?
by: Gorsky, Alexander
Published: (2025)
by: Gorsky, Alexander
Published: (2025)
Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2026)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2026)
Structural coarse-graining enables noise-robust functional connectivity and reveals hidden inter-subject variability
by: Fernandez-Iriondo, Izaro, et al.
Published: (2026)
by: Fernandez-Iriondo, Izaro, et al.
Published: (2026)
Extrinsic vs Intrinsic Criticality in Systems with Many Components
by: Ngampruetikorn, Vudtiwat, et al.
Published: (2023)
by: Ngampruetikorn, Vudtiwat, et al.
Published: (2023)
Hopfield Networks as Models of Emergent Function in Biology
by: Yampolskaya, Maria, et al.
Published: (2025)
by: Yampolskaya, Maria, et al.
Published: (2025)
Quantifying plasticity: a network-based framework linking structure to dynamical regimes
by: Branchi, Igor
Published: (2026)
by: Branchi, Igor
Published: (2026)
Optimal input reverberation and homeostatic self-organization towards the edge of synchronization
by: Rhâmidda, Sue L., et al.
Published: (2024)
by: Rhâmidda, Sue L., et al.
Published: (2024)
Optimal rate-variance coding due to firing threshold adaptation near criticality
by: Girardi-Schappo, Mauricio, et al.
Published: (2025)
by: Girardi-Schappo, Mauricio, et al.
Published: (2025)
Predicting how and when hidden neurons skew measured synaptic interactions
by: Brinkman, Braden A. W., et al.
Published: (2017)
by: Brinkman, Braden A. W., et al.
Published: (2017)
When can in-context learning generalize out of task distribution?
by: Goddard, Chase, et al.
Published: (2025)
by: Goddard, Chase, et al.
Published: (2025)
A statistical physics framework for optimal learning
by: Mignacco, Francesca, et al.
Published: (2025)
by: Mignacco, Francesca, et al.
Published: (2025)
Data coarse graining can improve model performance
by: Nguyen, Alex, et al.
Published: (2025)
by: Nguyen, Alex, et al.
Published: (2025)
Statistical Mechanics of Semantic Compression
by: Can, Tankut
Published: (2025)
by: Can, Tankut
Published: (2025)
Fluctuation-dissipation of the Kuramoto model on fruit-fly connectomes
by: Ódor, Géza, et al.
Published: (2025)
by: Ódor, Géza, et al.
Published: (2025)
Non-Equilibrium Stochastic Dynamics as a Unified Framework for Insight and Repetitive Learning: A Kramers Escape Approach to Continual Learning
by: Kim, Gunn
Published: (2026)
by: Kim, Gunn
Published: (2026)
Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings
by: Zou, Wenxuan, et al.
Published: (2023)
by: Zou, Wenxuan, et al.
Published: (2023)
Non-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension
by: Panda, Rajat K., et al.
Published: (2023)
by: Panda, Rajat K., et al.
Published: (2023)
Inhomogeneous random graphs with infinite-mean fitness variables
by: Avena, Luca, et al.
Published: (2022)
by: Avena, Luca, et al.
Published: (2022)
Similar Items
-
Orthogonal projections of hypercubes
by: Horiike, Yoshiaki, et al.
Published: (2025) -
Interdependent scaling exponents in the human brain
by: Castro, Daniel M., et al.
Published: (2024) -
Distinguishing thermal versus quantum annealing using probability-flux signatures across interaction networks
by: Horiike, Yoshiaki, et al.
Published: (2025) -
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain
by: Calvo, Rubén, et al.
Published: (2024) -
Scaling and tuning to criticality in resting-state human magnetoencephalography
by: Topal, Irem, et al.
Published: (2026)