arXiv (All)
open access
Reconstructing the information processing capacity of physical systems from noisy observations
Driven dynamical systems can compute when their transient states encode complex transformations of past inputs. The information processing capacity (IPC) framework allows for a detailed accounting of these computational properties, however its interpretation in noisy systems has remained incomplete.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Operational Coherent Measurements with Steering and Randomness#609835
- Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data#138963
- An Introduction to Chaotic Dynamics: Classical and quantum#726066
- Turnpike properties in nonlinear system identification#822477
- Irreversibility and Complexity#108327
Record · ID 998809
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive