FLYBRAIN-BAD_APPLE_X_DOOM
Local 3D FlyWire v783 viewer (139,255 neurons) with optional Bad Apple!! and Doom overlays on the neurons.
The connectome is used as fixed wiring. Activity is mapped straight to controls. Nothing changes over time.
Dispute this rating →The evidence
No evidence, no level.Bad Apple mode is a shader that lights each neuron point purely from video-frame luminance against a threshold, with no neural state.
https://github.com/fazchile17/FLYBRAIN-BAD_APPLE_X_DOOM/blob/4650db26b2597a081506bac3ad22038efbb7c60e/app/bad-apple.js#L6-L12DOOM mode likewise maps the rendered game frame onto fixed neuron positions as point brightness.
https://github.com/fazchile17/FLYBRAIN-BAD_APPLE_X_DOOM/blob/4650db26b2597a081506bac3ad22038efbb7c60e/app/neural-doom.js#L11-L16The authors state that the map does not simulate biological activity and does not model neural responses.
https://github.com/fazchile17/FLYBRAIN-BAD_APPLE_X_DOOM/blob/4650db26b2597a081506bac3ad22038efbb7c60e/README.md#L62
Real connectome data (FlyWire FAFB v783: 139,255 neurons, 15,091,983 directed pairs, real soma-anchor coordinates, predicted-neurotransmitter and region filters) rendered as a 3D graph viewer. Not L1: there is no neuron model anywhere in the app. Both the Bad Apple and DOOM modes are a GLSL vertex shader that projects video or game-frame luminance onto fixed neuron positions and turns each point on or off by a brightness threshold; no membrane potential, time constant, spike or state variable exists. The README says so directly ('El mapa no simula actividad biologica' / 'no modela respuestas neuronales'). Contrary to the upstream flag, this project is not thinly documented: the README is thorough and there are separate methodology and validation documents, so it is ratable rather than unrated.
Record
Nearby
All projects →MaleCNS simulation connected to ViZDoom through modeled visual inputs and a fixed button readout. Includes plasticity experiments and negative validation results; learned survival has not been demonstrated.
Research framework comparing a MaleCNS-constrained sparse recurrent controller with rewired graphs, conventional neural networks, and other controls on simple VizDoom tasks.
Ratings on thelearningfly.com are proposals, not verdicts. Every one of them is arguable in public.