arXiv (All)
open access
Phase oscillator networks with multiple and state-dependent delays: A framework for exploring white matter plasticity in neurodynamics
Network science is increasingly focused on how node dynamics influence emergent phenomena such as oscillations, waves, chimeras, and turbulence. In oscillatory systems modeled by networks of coupled ordinary differential equations (ODEs), a common approach is to reduce the system to phase variables.
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
- Synaptic delays modulate population phase and amplitude responses in oscillatory excitatory-inhibitory networks#612504
- Synaptic delays modulate population phase and amplitude responses in oscillatory excitatory-inhibitory networks#611027
- Deciphering optical coupled resonant systems with physics-data co-driven deep neural networks.#312453
- Interaction order controls stochastic-resonance enhancement and redistribution in delayed multiplex neural networks#616589
- Interaction order controls stochastic-resonance enhancement and redistribution in delayed multiplex neural networks#616089
Record · ID 985954
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