arXiv (All)
open access
Image recognition based on optical spike processing with exciton-polaritons
Exciton-polariton condensates combine ultrafast dynamics with strong optical nonlinearities, making them promising for optical neuromorphic computing. Here, we numerically demonstrate image recognition using the transient response of an exciton-polariton condensate. Downscaled MNIST images are encod
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
- Array of Cointegrated Transistor-Based Artificial Neurons and Synapses for Neuromorphic Computing#1081846
- Subcritical bifurcation and on-off bistability in ballistic polariton condensates#781111
- Subcritical bifurcation and on-off bistability in ballistic polariton condensates#779736
- A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo#364265
- Learnable Burst Quantization for Expressive and Efficient Spiking Neural Networks#1012202
Record · ID 996751
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