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Project SCCI RH

A spinal interface concept, from scientific question to inspectable engineering

An entirely digital research and engineering project exploring invasive spinal cord–computer interfaces (SCCI): record relevant activity, interpret it, select an individualized intervention, and observe the response.

Two ambitions: expert-informed practice that could improve retained motor learning, and feedback over a selected physiological function.

Inspect the build in your browser · Explore the project · Read the paper · Download the engineering release

No CAD software needed to inspect: the browser inspector provides selectable 3D assemblies, all eight populated boards, interactive component/net lookup, all four copper layers and 80 searchable schematic sheets. The download panel also supplies standard STEP solids, complete FreeCAD files and complete KiCad projects for local inspection and editing.

Choose what you want to explore

Use the browser inspector for viewing. Links labelled native source lead to engineering files that GitHub may offer only as downloads. Use the complete packages in the inspector to open them locally; the guides explain the required software, dependencies and how to preserve the released originals.

The project in one loop

Observe → interpret → calibrate → request stimulation → supervise delivery → observe response.

For motor learning, expert performance informs a task-conditioned reference; learner-specific calibration determines a reachable intervention during practice. Later stimulation-OFF probes assess retention separately from assisted performance. Expert voltage is not replayed as a skill.

For physiological feedback, a function-specific configuration observes a selected state and requests bounded support. The worked pressure example uses an external pressure sensor and positive spinal pressor authority. It is a selected pathway, not a universal body-control mechanism.

What has been delivered

The integrated replay passes 114,426 finite software assertions and includes 5,184 modeled motor events and 1,200 pressure events. Favorable, neutral and adverse learning assumptions are retained. These are software/model results; their implications are explained in the theory guide.

This is a completed digital concept and engineering reference. No physical device execution or original human/animal experiment is claimed. Useful chronic spinal decoding, retained human benefit and a miniaturized implanted implementation remain conditional. The current target records in OBSERVE, inhibits neural acquisition while armed, and has no radio image. The reference boards do not fit the future can.

Start, inspect, or contribute

• First visit: use the Explore hub or the five-minute route.
• Find a file: use the repository map to distinguish current entry points from historical studies.
• Check the engineering: use verification and reproduction.
• Understand authorship: read the contributions, defence guide and LICENSE.

Pratham Varma conceived and steered Project SCCI RH. AstroSam’s Mind-Link inspired the progression from future vision to inspectable engineering; SCCI_RH develops its own spinal architecture and artifacts. Substantial AI assistance is documented in the contribution record.

Engineering release: v2.1.1. Browser inspection and guide refresh: 21 October 2026. The paper and verified engineering geometry and circuit behavior are preserved through the recorded name migration. Historical stage records remain available; use the guides above for the current reading order. The technical inspector supports engineering review; presentation website and video work remain parked.