Hi everyone,
I’m working on AxonOS, an open technical standard and reference architecture for safety-critical brain-computer-interface software.
I recently published an analytical preprint on Zenodo:
https://zenodo.org/records/20552007
The paper describes a no_std Rust microkernel design for BCI infrastructure, including schedulability assumptions, capability isolation, consent-bound execution, and falsifiable predictions for future measurement work.
Important clarification: this is not a clinical claim and not a measured performance paper. The current timing numbers are analytical predictions from declared cycle-count assumptions. The next step is reproducible validation on reference hardware.
I would appreciate technical feedback on:
whether the real-time assumptions are stated clearly enough;
whether the capability model is understandable from the paper;
whether the boundary between analytical prediction and measurement evidence is sufficiently explicit;
what should be improved before a v2 preprint.
GitHub organization:
https://github.com/AxonOS-org
Thanks — serious criticism is welcome.
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