arXiv (OAI Expanded)
open access
A state-space characterization of reliability in FitzHugh-Nagumo neurons and networks via contraction analysis
A new contraction-theoretic state-space characterization of neuronal reliability is developed for FitzHugh-Nagumo models. It is shown that the state space of a neuron can be partitioned into two contraction regions separated by an expansion region where trajectory expansion may occur. The unforced r
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
- Discretization-independent operator learning for partial differential equations#1048485
- Structural characteristics of local cortical networks wired by distance dependent connectivity rules.#1039938
- Ising Models of Cooperativity in Muscle Contraction#280311
- Neural manifolds in spinal networks that orchestrate walking and stopping#387624
- Function aligns with geometry in locally connected neuronal networks#1136906
Record · ID 1069689
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