arXiv (All)
open access
Pole-Zero Geometry, Model Reduction, and Identifiability in Sensory Adaptation
Sensory adaptation provides a concrete setting in which low-order system identification can fail qualitatively. We show that one fixed higher-order adaptive system composed entirely of real first-order relaxation modes can be reduced to opposite sides of the second-order pole boundary: low-frequency
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
- Phase 3: Dual-Layer Consciousness Model – Mathematical Foundation of Load Minimization Theory (LMT)#75506
- Reinforcement drives within- not between-trial motor adaptation#5538
- Learning from others’ mistakes: differential effects of observing target errors versus adaptation errors#976819
- Learning from others’ mistakes: differential effects of observing target errors versus adaptation errors#976722
- Doubling Argument of the Hessian Estimate for the Special Lagrangian Equation on General Phases with Constraints#670423
Record · ID 821276
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