Cover Image

The Role of Connection Density in an Adaptive Network with Chaotic Units

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Plüss, Ramiro, Gleiser, Pablo Martín
Format:	Preprint
Published:	2025
Subjects:	Adaptation and Self-Organizing Systems 05C82, 37N25, 68U20, 92C20 G.2.2; I.2.6; I.6.3; F.1.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synchronization, Collective Oscillations, and Information Flow in Duplex Networks
by: Seif, Ali, et al.
Published: (2026)

A dynamical model of platform choice and online segregation
by: Banisch, Sven, et al.
Published: (2024)

The Universe Learning Itself: On the Evolution of Dynamics from the Big Bang to Machine Intelligence
by: Singh, Pradeep, et al.
Published: (2025)

Introducing COGENT3: An AI Architecture for Emergent Cognition
by: Salazar, Eduardo
Published: (2025)

Thermodynamic efficiency of self-organisation in nonequilibrium steady states
by: Chen, Qianyang, et al.
Published: (2026)

Harnessing omnipresent oscillator networks as computational resource
by: de Jong, Thomas Geert, et al.
Published: (2025)

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
by: Hooper, Gage K. R.
Published: (2025)

Multi-Scale Negative Coupled Information Systems (MNCIS): A Unified Spectral Topology Framework for Stability in Turbulence, AI, and Biology
by: Hou, Pengyue
Published: (2026)

Beyond Motion Imitation: Is Human Motion Data Alone Sufficient to Explain Gait Control and Biomechanics?
by: Liu, Xinyi, et al.
Published: (2026)

Pregnancy as a dynamical paradox: robustness, control and birth onset
by: Ferro, Giuseppe Maria, et al.
Published: (2024)

Efficient Generation of Multimodal Fluid Simulation Data
by: Baieri, Daniele, et al.
Published: (2023)

Perforated Neural Networks for Keyword Spotting
by: Gopal, Vishy, et al.
Published: (2026)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

Lattice Field Theory for a network of real neurons
by: Franchini, Simone, et al.
Published: (2026)

Understanding Mechanistic Role of Structural and Functional Connectivity in Tau Propagation Through Multi-Layer Modeling
by: Dan, Tingting, et al.
Published: (2025)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education
by: Hooshyar, Danial, et al.
Published: (2023)

Control of seizure-like dynamics in neuronal populations with excitability adaptation related to ketogenic diet
by: Eydam, Sebastian, et al.
Published: (2024)

Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
by: Inoue, Patrick, et al.
Published: (2026)

Binary Image-Based Intrusion Detection for Operational Technology Networks: Extending the SPHBI Methodology from IoT to Modbus TCP
by: Omar, Aamir
Published: (2026)

Generalising thermodynamic efficiency of interactions: inferential, information-geometric and computational perspectives
by: Chen, Qianyang, et al.
Published: (2025)

Enhancing Adversarial Robustness of IoT Intrusion Detection via SHAP-Based Attribution Fingerprinting
by: Sharma, Dilli Prasad, et al.
Published: (2025)

Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization
by: Sharma, Dilli Prasad, et al.
Published: (2025)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)

How Worrying Are Privacy Attacks Against Machine Learning?
by: Domingo-Ferrer, Josep
Published: (2025)

Lightweight LLMs for Network Attack Detection in IoT Networks
by: Sudasinghe, Piyumi Bhagya, et al.
Published: (2026)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)

Real-Time In Silico Modeling of Postprandial Macronutrient Kinetics: A Validated Computational Engine for Nutrition Research and Digital Health
by: Calderone, Alberto
Published: (2026)

Active perception and disentangled representations allow continual, episodic zero and few-shot learning
by: Rawlinson, David, et al.
Published: (2026)

Automated Detection of Circadian-Dependent Epileptic Biomarkers for Seizure Localization: A Machine Learning and Signal Processing Framework
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)

Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation
by: Park, Ilseung, et al.
Published: (2026)

TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning
by: Deng, Zongyuan, et al.
Published: (2025)

Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)

Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
by: Guo, Dongxin, et al.
Published: (2026)

PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
by: Chen, Xi, et al.
Published: (2025)

Why collective behaviours self-organise to criticality: A primer on information-theoretic and thermodynamic utility measures
by: Chen, Qianyang, et al.
Published: (2024)

Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
by: Ramsey, Joseph D., et al.
Published: (2024)

Latent Space Representation of Electricity Market Curves: Maintaining Structural Integrity
by: Výboh, Martin, et al.
Published: (2025)

Machine Learning Algorithms for Improving Black Box Optimization Solvers
by: Kimiaei, Morteza, et al.
Published: (2025)

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
by: Romero, Angel, et al.
Published: (2023)

Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day
by: Li, Jianxiong, et al.
Published: (2024)