Cover Image

Integral Betti signature confirms the hyperbolic geometry of brain, climate, and financial networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Caputi, Luigi, Pidnebesna, Anna, Hlinka, Jaroslav
Format:	Preprint
Published:	2024
Subjects:	Algebraic Topology Data Analysis, Statistics and Probability Neurons and Cognition Computational Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-dimensional representation of brain networks for seizure risk forecasting
by: Rico-Aparicio, Steven, et al.
Published: (2025)

Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
by: Guillemaud, Martin, et al.
Published: (2024)

Are EEG functional networks really describing the brain? A comparison with other information-processing complex systems
by: Gil-Rodrigo, Sofia, et al.
Published: (2024)

Causality Analysis of COVID-19 Induced Crashes in Stock and Commodity Markets: A Topological Perspective
by: Sharma, Buddha Nath, et al.
Published: (2025)

Topological Time Frequency Analysis of Functional Brain Signals
by: Chung, Moo K., et al.
Published: (2025)

Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm
by: Lenfesty, Brendan, et al.
Published: (2024)

IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data
by: Catal, Yasir, et al.
Published: (2025)

Modularity, Hierarchical Flows and Symmetry of the Drosophila Connectome
by: Grindrod, Peter, et al.
Published: (2024)

Hyperbolic embedding of multilayer networks
by: Guillemaud, Martin, et al.
Published: (2025)

Assessing the similarity of real matrices with arbitrary shape
by: Albers, Jasper, et al.
Published: (2024)

Active inference and artificial reasoning
by: Friston, Karl, et al.
Published: (2025)

Hypergraphs from multivariate connectivity: caCoh-based EEG/MEG representation
by: Vlasenko, Daniil, et al.
Published: (2026)

Thermodynamic bounds on energy use in quasi-static Deep Neural Networks
by: Tkachenko, Alexei V.
Published: (2025)

Zigzag Persistence of Neural Responses to Time-Varying Stimuli
by: Gardinazzi, Yuri, et al.
Published: (2026)

Persistent Homology on a lattice of multigraphs
by: Boils, Joaquin Diaz
Published: (2025)

Tracking the topology of neural manifolds across populations
by: Yoon, Iris H. R., et al.
Published: (2025)

Topological decoding of grid cell activity via path lifting to covering spaces
by: Yao, Yuxing Jared, et al.
Published: (2025)

Compression-based inference of network motif sets
by: Bénichou, Alexis, et al.
Published: (2023)

Communities in C.elegans connectome through the prism of non-backtracking walks
by: Onuchin, Arsenii, et al.
Published: (2022)

A Quantifiable Information-Processing Hierarchy Provides a Necessary Condition for Detecting Agency
by: Kagan, Brett J., et al.
Published: (2026)

Stochastic Dynamics and Probability Analysis for a Generalized Epidemic Model with Environmental Noise
by: Boukanjime, Brahim, et al.
Published: (2024)

A symbolic information approach applied to human intracranial data to characterize and distinguish different congnitive processes
by: Da Paz, Ícaro Rodolfo Soares Coelho, et al.
Published: (2024)

Toward a statistical mechanics of four letter words
by: Stephens, Greg J., et al.
Published: (2007)

Distinct weak asymmetric interactions shape human brain functions as probability fluxes
by: Horiike, Yoshiaki, et al.
Published: (2025)

Topologically Invariant Permutation Test
by: Dakurah, Sixtus
Published: (2025)

A mathematical theory for understanding when abstract representations emerge in neural networks
by: Wang, Bin, et al.
Published: (2025)

Extrinsic vs Intrinsic Criticality in Systems with Many Components
by: Ngampruetikorn, Vudtiwat, et al.
Published: (2023)

Interdependent scaling exponents in the human brain
by: Castro, Daniel M., et al.
Published: (2024)

Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics
by: Po, Ho Fai, et al.
Published: (2025)

A Quotient Homology Theory of Representation in Neural Networks
by: Beshkov, Kosio
Published: (2025)

A rank decomposition for the topological classification of neural representations
by: Beshkov, Kosio, et al.
Published: (2024)

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
by: Chung, Moo K., et al.
Published: (2022)

Absolute abstraction: a renormalisation group approach
by: Caputo, Carlo Orientale, et al.
Published: (2024)

Network reconstruction may not mean dynamics prediction
by: Yu, Zhendong, et al.
Published: (2024)

Using topological data analysis to compare inter-subject variability across resting state functional MRI brain representations
by: Easley, Ty, et al.
Published: (2023)

Synaptic Classification via Spike-Triggered Extrapolation
by: De Santis, Emilio
Published: (2026)

Walks with jumps: a neurobiologically motivated class of paths in the hyperbolic plane
by: DeBlois, Jason, et al.
Published: (2024)

Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
by: Bhattacharya, Debanjali, et al.
Published: (2024)

Quantum walk on simplicial complexes for simplicial community detection
by: Song, Euijun
Published: (2024)

Exact Variance and Fano Factor for Arbitrary Level Crossings in Stationary Gaussian Processes
by: Rawat, Shivang, et al.
Published: (2026)