Transfer entropy
View article: "Obstetric Entropy Theory and the GISD Model – Systemic Dynamic Integration Degree (Versions V1 and V2)"
"Obstetric Entropy Theory and the GISD Model – Systemic Dynamic Integration Degree (Versions V1 and V2)" Open
This deposit presents the original formulation of the Obstetric Entropy Theory and the Systemic Dynamic Integration Degree (GISD) model, developed by Saymmon Jesiel. The theory proposes that entropy is not degradation but a gestational pro…
View article: Information Entropy and the Emergence of Complexity in Open Systems
Information Entropy and the Emergence of Complexity in Open Systems Open
This letter explores how information entropy, understood through both Shannon’s formulation and Landauer’s physical principle, can act as a universal driver for the emergence and growth of complexity in open systems. Building on concepts f…
View article: Information Entropy and the Emergence of Complexity in Open Systems
Information Entropy and the Emergence of Complexity in Open Systems Open
This letter explores how information entropy, understood through both Shannon’s formulation and Landauer’s physical principle, can act as a universal driver for the emergence and growth of complexity in open systems. Building on concepts f…
View article: "Obstetric Entropy Theory and the GISD Model – Systemic Dynamic Integration Degree (Versions V1 and V2)"
"Obstetric Entropy Theory and the GISD Model – Systemic Dynamic Integration Degree (Versions V1 and V2)" Open
This deposit presents the original formulation of the Obstetric Entropy Theory and the Systemic Dynamic Integration Degree (GISD) model, developed by Saymmon Jesiel. The theory proposes that entropy is not degradation but a gestational pro…
View article: S-Equations: A System of Differential Equations for Modeling Coherence, Entropy and Pattern Dynamics in Complex Systems
S-Equations: A System of Differential Equations for Modeling Coherence, Entropy and Pattern Dynamics in Complex Systems Open
The S-Equations are a system of differential equations designed to model pattern formation, coherence dynamics, and entropy evolution in complex biological, ecological, and social systems. The framework does not claim to represent new phys…
View article: Universal bounds on entropy production from fluctuating coarse-grained trajectories
Universal bounds on entropy production from fluctuating coarse-grained trajectories Open
Entropy production is arguably the most universally applicable measure of non-equilibrium behavior, particularly for systems coupled to a heat bath. This setting encompasses driven soft matter as well as biomolecular, biochemical, and biop…
View article: Universal bounds on entropy production from fluctuating coarse-grained trajectories
Universal bounds on entropy production from fluctuating coarse-grained trajectories Open
Entropy production is arguably the most universally applicable measure of non-equilibrium behavior, particularly for systems coupled to a heat bath. This setting encompasses driven soft matter as well as biomolecular, biochemical, and biop…
View article: S-Equations: A System of Differential Equations for Modeling Coherence, Entropy and Pattern Dynamics in Complex Systems
S-Equations: A System of Differential Equations for Modeling Coherence, Entropy and Pattern Dynamics in Complex Systems Open
The S-Equations are a system of differential equations designed to model pattern formation, coherence dynamics, and entropy evolution in complex biological, ecological, and social systems. The framework does not claim to represent new phys…
View article: Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity
Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity Open
In the last decade, there have been major advances in clusterless decoding algorithms for neural data analysis. These algorithms use the theory of marked point processes to describe the joint activity of many neurons simultaneously, withou…
View article: Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity
Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity Open
In the last decade, there have been major advances in clusterless decoding algorithms for neural data analysis. These algorithms use the theory of marked point processes to describe the joint activity of many neurons simultaneously, withou…
View article: The Entropic Manifold of Causal Discovery
The Entropic Manifold of Causal Discovery Open
Causal discovery, the process of inferring cause-effect relationships from observational data, stands as a cornerstone of scientific inquiry across diverse disciplines. Traditional approaches often rely on statistical independence tests, s…
View article: Spiral Information Theory (SIT): A Spiral-Based Framework for Encoding, Transmission, and Entropy Analysis
Spiral Information Theory (SIT): A Spiral-Based Framework for Encoding, Transmission, and Entropy Analysis Open
Spiral Information Theory (SIT) introduces spiral encoding, spiral compression, and spiral-based entropy measures for high-efficiency information systems.The framework proposes how spiral-phase structures can reduce noise, increase redunda…
View article: The Entropic Manifold of Causal Discovery
The Entropic Manifold of Causal Discovery Open
Causal discovery, the process of inferring cause-effect relationships from observational data, stands as a cornerstone of scientific inquiry across diverse disciplines. Traditional approaches often rely on statistical independence tests, s…
View article: Spiral Information Theory (SIT): A Spiral-Based Framework for Encoding, Transmission, and Entropy Analysis
Spiral Information Theory (SIT): A Spiral-Based Framework for Encoding, Transmission, and Entropy Analysis Open
Spiral Information Theory (SIT) introduces spiral encoding, spiral compression, and spiral-based entropy measures for high-efficiency information systems.The framework proposes how spiral-phase structures can reduce noise, increase redunda…
View article: Descriptive Statistics of stock index returns.
Descriptive Statistics of stock index returns. Open
This study investigates the risk spillover network among major stock market indices of G20 countries from 2003 to 2024. Transfer entropy is employed to measure the asymmetric and nonlinear information flow between stock markets. Based on …
View article: Modifications of Time Series Entropy Algorithms
Modifications of Time Series Entropy Algorithms Open
It has recently become very important in many scientific fields to be able to determine whether or not a time series ischaotic, and what the measure of its chaotic behavior is. This includes psychology, biology, chemistry, physics, health,…
View article: Directed weighted stock market network of the 19 G20 countries based on transfer entropy.
Directed weighted stock market network of the 19 G20 countries based on transfer entropy. Open
Arrows indicate the direction of information flow between countries. Node labels represent the two-letter ISO country codes. Only edges exceeding the threshold for significant transfer entropy are shown.
View article: Sub-periods of the full observed data set.
Sub-periods of the full observed data set. Open
This study investigates the risk spillover network among major stock market indices of G20 countries from 2003 to 2024. Transfer entropy is employed to measure the asymmetric and nonlinear information flow between stock markets. Based on …
View article: Modifications of Time Series Entropy Algorithms
Modifications of Time Series Entropy Algorithms Open
It has recently become very important in many scientific fields to be able to determine whether or not a time series ischaotic, and what the measure of its chaotic behavior is. This includes psychology, biology, chemistry, physics, health,…
View article: Cognitive Nexus Theory: CNT Hazard-Memory Entropy Collapse v1 (powergrid)
Cognitive Nexus Theory: CNT Hazard-Memory Entropy Collapse v1 (powergrid) Open
This dataset documents the first empirical test of the CNT Hazard-Memory Entropy Collapse hypothesis within Cognitive Nexus Theory (CNT). CNT models unstable systems in terms of drift geometry and hazard memory: how often a system revisits…
View article: Heatmap of transfer entropy between G20 stock markets.
Heatmap of transfer entropy between G20 stock markets. Open
The horizontal axis represents the target country (recipient of risk information), and the vertical axis represents the source country (provider of risk information).
View article: Cognitive Nexus Theory: CNT Hazard-Memory Entropy Collapse v1 (powergrid)
Cognitive Nexus Theory: CNT Hazard-Memory Entropy Collapse v1 (powergrid) Open
This dataset documents the first empirical test of the CNT Hazard-Memory Entropy Collapse hypothesis within Cognitive Nexus Theory (CNT). CNT models unstable systems in terms of drift geometry and hazard memory: how often a system revisits…
View article: Risk information flow among countries.
Risk information flow among countries. Open
This study investigates the risk spillover network among major stock market indices of G20 countries from 2003 to 2024. Transfer entropy is employed to measure the asymmetric and nonlinear information flow between stock markets. Based on …
View article: Operational Entropy and Causal Enforcement, A Unified Theory of Transformer Stability.
Operational Entropy and Causal Enforcement, A Unified Theory of Transformer Stability. Open
UNIFIED INTRODUCTION, FINAL MASTER VERSION (PLAIN TEXT, GRAPHIC READY) Modern transformer models function as probabilistic engines governed by the entropy of their next token distribution, and this entropy determines whether the system beh…
View article: Operational Entropy and Causal Enforcement, A Unified Theory of Transformer Stability.
Operational Entropy and Causal Enforcement, A Unified Theory of Transformer Stability. Open
UNIFIED INTRODUCTION, FINAL MASTER VERSION (PLAIN TEXT, GRAPHIC READY) Modern transformer models function as probabilistic engines governed by the entropy of their next token distribution, and this entropy determines whether the system beh…
View article: Entropy and Resilience: Deciphering the Deep Mechanics of China's Dynastic Cycles
Entropy and Resilience: Deciphering the Deep Mechanics of China's Dynastic Cycles Open
This paper introduces a novel interpretative framework for understanding China's recurrent dynastic cycles, moving beyond traditional historical narratives by integrating concepts from complex systems theory: entropy and resilience. The cl…
View article: Entropy and Resilience: Deciphering the Deep Mechanics of China's Dynastic Cycles
Entropy and Resilience: Deciphering the Deep Mechanics of China's Dynastic Cycles Open
This paper introduces a novel interpretative framework for understanding China's recurrent dynastic cycles, moving beyond traditional historical narratives by integrating concepts from complex systems theory: entropy and resilience. The cl…
View article: Example of Intensity measured with thematic analysis and Shannon Entropy on three different information flows.
Example of Intensity measured with thematic analysis and Shannon Entropy on three different information flows. Open
Example of Intensity measured with thematic analysis and Shannon Entropy on three different information flows.
View article: The Quantum Network of Assets: A Non-Classical Framework for Market Correlation and Structural Risk
The Quantum Network of Assets: A Non-Classical Framework for Market Correlation and Structural Risk Open
Classical correlation matrices capture only linear and pairwise co-movements, leaving higher-order, nonlinear, and state-dependent interactions of financial markets unrepresented. This paper introduces the Quantum Network of Assets (QNA), …
View article: Learning evoked centrality dynamics in the schizophrenia brain: Entropy, heterogeneity and inflexibility of brain networks
Learning evoked centrality dynamics in the schizophrenia brain: Entropy, heterogeneity and inflexibility of brain networks Open
Background: Brain network dynamics are responsive to task induced fluctuations, but such responsivity may not hold in schizophrenia (SCZ). We introduce and implement Centrality Dynamics (CD), a method developed specifically to capture task…