#information theory
24 papers · 1 filter
Causal Architecture Dynamics Prior to Arrival of Self-replicators in a Model of Catalytic Networks Relevant to Origin-of-Life
Federico Pigozzi, Michael Levin
The paper investigates how causal structure emerges in a catalytic network model (GARD) before self-replicators appear, showing that increasing causal emergence predicts and suppor…
How to quantify earthquake predictability? Advances in earthquake forecasting and predictability limits
Jiancang Zhuang, Didier Sornette
The paper proposes an information‑theoretic framework that quantifies how predictable earthquakes are by measuring entropy gaps and information gains, applying it to point‑process…
Navigation driven by bidirectional information transmission between sensing and actuation
Avishek Das, Pieter Rein ten Wolde
The paper derives theoretical relations (BESTs) that link the strength and timing of bidirectional information flow between sensing and actuation to the navigation performance of c…
Extracting informative vortical structures of turbulent wake-extreme vortex gust interactions with machine learning
Ryo Koshikawa, Kai Fukami
The paper applies a convolutional information‑theoretic machine‑learning method to separate informative vortical structures from residual flow in turbulent wake and vortex‑gust int…
The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy
Zeyu Wang
The paper studies how much spiking neural networks can lower their firing activity without losing performance, showing that the achievable sparsity depends on the task and architec…
Weak but Not Strong Asymptotic Testability
Senhan Yao
The paper constructs two disjoint families of stationary ergodic binary process distributions that admit a weakly asymptotically consistent test but no strongly asymptotically cons…