arXiv (All)
open access
RIPE-MambaSpike: Resolution-Independent Spiking-State-Space Interfaces for Parameter-Efficient Event-Based Vision
Spiking-Mamba hybrids reach strong accuracy on event-based vision, but existing designs often require tens of millions of parameters. Much of that cost comes from how the spiking front-end is connected to the state-space backbone rather than from the hybrid architecture itself. In a representative m
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
- Spinal-inspired artificial tactile interneuron with high-order burst spiking for intelligent edge interfaces.#631104
- A discrete generative model of neuronal spiking activity on microelectrode arrays#1050098
- The inner junction protein CFAP20 functions in motile and non-motile cilia and is critical for vision#179540
- Ocular systems, devices, and methods — Joseph J. K. Ma (US11160650B2)#607629
Record · ID 1116868
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