Lab mode

Bitcoin is disconnected. You drive odour, wind, visual motion and looming. Those currents enter identified sensory neurons; activity then follows real FlyWire edges to descending cells and the fly moves. Use this to check that attraction, avoidance, turning and looming do something sensible before judging Bitcoin behaviour.

Virtual fly environment

Time in current zone: —

Show:PathStimuliZones

The fly says

UNAVAILABLE

Confidence—

Behaviour: idle
Signal age: —
Zone position: X: 0.00 Y: 0.00
Movement speed: 0.00
Directional persistence: 0.00

Feed stale — last environment held, new indications frozen.

Lab stimuli

Independent of Bitcoin. Drive identified sensory neurons directly.

Attractive odourAversive odourOdour directionWindWind directionVisual motionLooming threatInstability

Model parameters

Computational, not biological measurements. Not fitted to BTC.

decay 0.58

Activity trace retained each step after a putative firing event.

threshold 0.16

Input must exceed this before a neuron contributes new activity.

gain 0.48

Scales the tanh of supra-threshold drive.

weightScale 0.18

Converts log(1 + synapse count) into a unitless weight.

inhibScale 0.38

Inhibitory (GABA/glutamate) synapses are down-weighted relative to acetylcholine so a rate model does not veto the whole antennal lobe. Connectivity itself is unchanged.

noise 0.01

Small model noise from a seeded RNG. Not a trading randomiser.

Sensory environment

What identified sensory neurons receive. No BUY or SELL words enter the fly.

Attractive0

Aversive0

Visual motion0

Looming0

Wind0

Intensity0

Feed stale — last environment held.

Real connectome subgraph

0 neurons · 0 edges · 0 active

Left: sensory · centre: interneurons · right: descending. Brightness is simulated activity on real FlyWire cells. Cyan traces are currently conducting edges. Click a neuron to inspect its published identity.

Neuron inspector

Click a cell in the circuit to inspect a real FlyWire neuron.