Sovereign-SNN
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Zenodo
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901706078420992 |
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| author | Montoya Cardenas, Raul |
| author_facet | Montoya Cardenas, Raul |
| contents | <p>Sovereign-SNN is a vertical, open-source neuromorphic architecture designed to bridge decentralized data streams with physical silicon. This project introduces a "Zero-Permission" methodology for spiking neural network (SNN) research, utilizing standard consumer hardware to bypass traditional, proprietary lab constraints.</p> <p><strong>Core Architecture:</strong></p> <ul> <li> <p><strong>Hardware Layer:</strong> Custom SystemVerilog Leaky Integrate-and-Fire (LIF) neural cores executing in real-time on a Digilent Basys 3 Artix-7 FPGA.</p> </li> <li> <p><strong>Telemetry Layer:</strong> A memory-safe, high-speed Rust supervisor managing asynchronous hardware states and serial communication.</p> </li> <li> <p><strong>Acceleration Layer:</strong> Custom CUDA kernels orchestrated by an NVIDIA RTX 5080, calculating synaptic weights and thresholding.</p> </li> <li> <p><strong>Stimulus:</strong> Capable of utilizing high-entropy, live-wavelength telemetry (including Proof-of-Useful-Work streams) as biological training stimuli.</p> </li> </ul> <p>This repository contains the core IP, hardware logic, Rust telemetry engine, and the foundational whitepaper detailing the "Centaur Workflow" utilized in its synthesis.</p> <h3> </h3> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18702138 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Sovereign-SNN Montoya Cardenas, Raul Rust SNN Neuromorphic Computing Dynex RTX 5080 NVIDIA SystemVerilog FPGA <p>Sovereign-SNN is a vertical, open-source neuromorphic architecture designed to bridge decentralized data streams with physical silicon. This project introduces a "Zero-Permission" methodology for spiking neural network (SNN) research, utilizing standard consumer hardware to bypass traditional, proprietary lab constraints.</p> <p><strong>Core Architecture:</strong></p> <ul> <li> <p><strong>Hardware Layer:</strong> Custom SystemVerilog Leaky Integrate-and-Fire (LIF) neural cores executing in real-time on a Digilent Basys 3 Artix-7 FPGA.</p> </li> <li> <p><strong>Telemetry Layer:</strong> A memory-safe, high-speed Rust supervisor managing asynchronous hardware states and serial communication.</p> </li> <li> <p><strong>Acceleration Layer:</strong> Custom CUDA kernels orchestrated by an NVIDIA RTX 5080, calculating synaptic weights and thresholding.</p> </li> <li> <p><strong>Stimulus:</strong> Capable of utilizing high-entropy, live-wavelength telemetry (including Proof-of-Useful-Work streams) as biological training stimuli.</p> </li> </ul> <p>This repository contains the core IP, hardware logic, Rust telemetry engine, and the foundational whitepaper detailing the "Centaur Workflow" utilized in its synthesis.</p> <h3> </h3> |
| title | Sovereign-SNN |
| topic | Rust SNN Neuromorphic Computing Dynex RTX 5080 NVIDIA SystemVerilog FPGA |
| url | https://doi.org/10.5281/zenodo.18702138 |