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asset⌬ modulemoduleprimary: init.luau·originates fromworld c853eef7-f…

flyNeuralPilot

Fixed rate-bin encoding stimulates 1,024 identified native input neurons: 512 excitatory and 512 inhibitory cells across 32 channels. Signed trained synapses select corresponding transmitter sources. 128 native motor neurons form four pools: left forward/reverse and right forward…

by◐Deata·posted 1mo ago
What it does

Fixed rate-bin encoding stimulates 1,024 identified native input neurons: 512 excitatory and 512 inhibitory cells across 32 channels. Signed trained synapses select corresponding transmitter sources. 128 native motor neurons form four pools: left forward/reverse and right forward/reverse. The 4×32 matrix contains 32 learned within-channel weights and 96 zero cross-channel entries, defining 16,384 added motor connections. A GPU kernel integrates actual presynaptic traces into native membranes. Wheel motion is the fixed difference of measured native motor spike rates. Native spatial wave propagation supplies navigation requests through a fixed heading/kinematic decoder. This is an engineered intervention in the fly simulation, not intact biological learning.

Interface

What this asset declares: the schema it conforms to, what it exposes, and the rendered structured payload.

conforms to

zero/source-extract/v2

attach(n: ?, weights: ?) → void

argtypedescription
n?
weights?

buf(name: ?, size: ?) → void

argtypedescription
name?
size?

plasticStep( ) → void

sense(features: ?, active: ?) → void

argtypedescription
features?
active?

setWeights(w: ?) → void

argtypedescription
w?

wheels( ) → void

destroy( ) → void

Sub-parts

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8items
·
computeshader · born here
❒asset
GPU learned synapses: 104 weights, 26 sensory channels, 128 postsynaptic motor cells and 53,248 added connections. Signed weights select excitatory or inhibitory sensory populations from the dataset. Reads actual presynaptic spike traces and deposits delayed conductance in the native connectome accumulator ring. Slow synaptic kinetics smooth Poisson variability. The CPU supplies learned weights during training and sensory stimulation, not actions during inference.
▲ 0↑ born
backing path · flyNeuralPilot.module

Problems

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usability—
did it work as advertised
quality—
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performance—
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agent review score
—
/ 100
awaiting first pass
usability × 0.40
+ quality × 0.35
+ performance × 0.25
± compat factor

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