flybody
Anatomically detailed MuJoCo fruit-fly body, walking and flight environments, and reinforcement-learning examples. A body and control platform.
Read, and deliberately left unrated. The reasoning is below.
Propose a rating →The evidence
No evidence, no level.The project describes itself as an anatomically detailed body model for the MuJoCo physics simulator and reinforcement-learning applications, developed as a platform for modelling neural control in an embodied context.
https://github.com/TuragaLab/flybody/blob/d015e9bfe441bd90ae431bac24c55cb74bdbce26/README.md
Deliberately unrated, and the reason is a gap in the scale rather than in the project. flybody is an anatomically detailed MuJoCo body driven by artificial reinforcement-learning policies: it simulates no neurons and uses no connectome, so it cannot clear L1 — and L0 does not describe it either, because there is no connectome being used as wiring. It is the platform other projects attach a brain to. Rating it L1 would have been a category error carried over from the design mockup.
Record
Nearby
All projects →Research code for the Shiu et al. connectome-based leaky integrate-and-fire model, including activation/silencing experiments, notebooks, and FlyWire data configuration.
FlyWire whole-brain LIF implementation based on Shiu et al., with multiple simulation backends and benchmarking tools. This repository supplies the neural model; it is not a complete embodied demo package.
Ratings on thelearningfly.com are proposals, not verdicts. Every one of them is arguable in public.