Community · E2 · artifact verified
Steer a simulated fly brain with typed decisions
Spikecast puts Jev at the controls of a fly's simulated brain: the insect walks a road, and every turn, stop or dash is a typed decision with the synapse memory and neural firing visualised beside it - with docs separating what is real from what is modelled.
01 · Role in the system
What Jev does here
The fly's brain is a small simulated system - synapse memory, spiking visualisation - and Jev sits where the decisions happen: each moment on the road becomes a typed question, and the answer turns the fly or dashes it forward, with the decision it just made drawn on screen next to the memory and the firing. The project's docs are unusually honest for a demo: an explainer in plain language, a page separating what is really computed from what is modelled, and a road report with measurements. It is a research toy that makes an argument - a judgment engine is a plausible stand-in for a tiny brain's action selection - and shows its work.
02 · Control boundary
Where Jev sits
Jev as the action-selection layer of a simulated organism: each moment becomes a typed decision that steers the body, while simulated synapse memory and neural firing run alongside, all visualised and honestly documented.
Code owns the loop, permissions, thresholds, validation, and side effects. Jev owns only the bounded judgments described above.
03 · Known limits
What this evidence does not prove
- The brain is a simulation; the fly is a model organism only in silhouette.
- Demo hosted on Vercel was unreachable from the review machine at check time; run locally from the repo.
- Created 2026-10-01, 0 stars; no external evaluation of the modeling choices.
04 · Attribution
Public sources
This is a Community record: the project was published by a third-party community author.
- padmanabhan-r ↗Community · github · public · checked 2026-10-02