arXiv (All)
open access
Disentangling Memory and Nonlinearity in Time-Multiplexed Optical Reservoir Computing
We analyze and disentangle the individual and combined roles of nonlinearity, transient dynamics, and delayed feedback, and investigate how these mechanisms contribute to different task requirements in photonic reservoir computing. This is achieved using a passive linear photonic reservoir in which
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
- Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network#1122899
- Determinants of hyperparameter robustness in connectome reservoir computing#984282
- Liouvillian Response for Temporal Information in Quantum Reservoir Computing#1049170
- Optical Reservoir Computing with Structural Nonlinearity for Forecasting Chaotic Time Series#924869
- Optical Reservoir Computing with Structural Nonlinearity for Forecasting Chaotic Time Series#920635
Record · ID 820447
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