GARAGEFLYExperimentsLive runs Model limitationsArchitecture

demo_viewer/20260924-115709_other_music_s0_report.md · raw markdown

GarageFly run report: 20260924-115709_other_music_s0

Generated 2026-09-24T11:57:30 · condition other_music · seed 0 · 8 s simulated (19 s wall)

Setup

Key observations (this run)

Physics QA: passed (no jumps > 1 mm per 10 ms; thorax height stayed 0.5–2.5 mm above the surface; max step 0.80 mm).

A single run is one stochastic sample. Differences between baseline and stimulus within a run, or between single runs, are not statistically established. Use scripts/compare_conditions.py over several seeds per condition for inferential statistics.

run figure

Behaviour

Measure Baseline Stimulus Change
Fraction of time walking 1.00 0.21 -0.79
Fraction of time grooming (body) 0.00 0.00 0.00
Fraction of time in flight 0.00 0.79 0.79
Takeoffs per minute 0.00 20.00 20.00
Grooming bouts per minute 0.00 0.00 0.00
Righting events (fell over) 0.00 0.00 0.00
Mean walking speed while walking (mm/s) 11.34 11.08 -0.26
Distance travelled (mm) 22.75 222.97 200.22
Fraction of time freezing 0.00 0.00 0.00
Mean angular velocity (deg/s) 47.07
Turning bias (deg/s, + = left) -43.16 -35.44 7.73
Fraction of time grooming command active 0.00 0.00 0.00
Escape (giant fiber) command episodes 0.00 2.00 2.00
Escape command episodes per minute 0.00 20.00 20.00
Fraction of time escape command active 0.00 0.27 0.27
Mean distance to speaker (mm) 317.80 392.13 74.33

Neural activity: sensory input and descending output

Neuron group Baseline (Hz) Stimulus (Hz) Change (Hz)
JO-A (left) 1.90 27.51 25.61
JO-A (right) 2.20 23.67 21.47
JO-B (left) 1.93 33.84 31.91
JO-B (right) 2.21 30.94 28.74
JO-C (left) 2.01 3.87 1.86
JO-C (right) 1.89 3.02 1.13
JO-D (left) 1.70 9.32 7.62
JO-D (right) 1.78 5.82 4.04
JO-E (left) 1.95 3.84 1.88
JO-E (right) 2.09 3.33 1.23
JO-F (left) 1.94 2.05 0.12
JO-F (right) 2.01 2.06 0.05
DNp09 (left) 29.99 30.74 0.75
DNp09 (right) 29.99 30.98 0.99
oDN1 (left) 44.94 47.13 2.19
oDN1 (right) 39.18 42.58 3.40
DNa01 (left) 0.00 0.00 0.00
DNa01 (right) 0.00 0.00 0.00
DNa02 (left) 0.00 0.00 0.00
DNa02 (right) 6.12 6.72 0.59
MDN (left) 0.00 0.00 0.00
MDN (right) 0.00 0.00 0.00
aDN2 (left) 0.00 0.00 0.00
aDN2 (right) 0.00 0.00 0.00
DNg11 (left) 0.00 0.00 0.00
DNg11 (right) 0.00 0.00 0.00
DNg12 (left) 0.00 0.00 0.00
DNg12 (right) 0.00 0.00 0.00
GF (left) 0.00 0.00 0.00
GF (right) 0.00 6.13 6.13
MN9 (left) 0.00 0.00 0.00
MN9 (right) 0.00 0.00 0.00

Neural activity by FlyWire super-class (mean rate per neuron)

Super-class Baseline (Hz) Stimulus (Hz)
ascending 0.0000 0.0020
central 0.0003 0.0153
descending 0.1609 0.3050
endocrine 0.0000 0.0000
motor 0.0591 0.0879
sensory 0.1273 0.8166
sensory_ascending 0.0000 0.0000
unannotated 0.0000 0.0000

Most responsive cell types (largest |change| stimulus − baseline)

cell_type super_class n_neurons baseline_hz stimulus_hz delta_hz
JO-B4_a sensory 15 2.13 37.61 35.48
JO-B1_a sensory 105 2.02 35.42 33.40
JO-B2 sensory 36 1.88 33.25 31.38
JO-A4 sensory 2 2.00 31.33 29.33
JO-B4_b sensory 25 2.08 29.61 27.53
JO-B3 sensory 29 2.22 29.72 27.49
JO-B1_b sensory 27 1.74 28.68 26.94
JO-A2 sensory 33 1.92 28.04 26.12
JO-B1_c sensory 22 2.41 27.68 25.27
JO-A1 sensory 21 1.95 25.63 23.67
JO-A3 sensory 6 2.75 25.89 23.14
DNg29 descending 2 0.00 21.92 21.92
JO-A5 sensory 37 2.11 22.87 20.76
CB3876 central 1 0.00 13.67 13.67
CB3911 central 1 0.00 13.17 13.17

Most responsive downstream (non-sensory) cell types

cell_type super_class n_neurons baseline_hz stimulus_hz delta_hz
DNg29 descending 2 0.00 21.92 21.92
CB3876 central 1 0.00 13.67 13.67
CB3911 central 1 0.00 13.17 13.17
SAD053 central 2 0.00 9.17 9.17
DNg24 descending 2 0.00 8.83 8.83
CB0478 central 2 0.00 8.58 8.58
CB0033 central 2 0.00 8.42 8.42
SAD013 central 2 0.00 8.42 8.42
DNb06 descending 2 0.00 8.25 8.25
CB3882 central 1 0.00 8.17 8.17
DNp12 descending 2 0.00 8.00 8.00
CB3913 central 1 0.00 7.83 7.83
CB2789 central 4 0.00 6.96 6.96
CB0307 central 2 0.00 6.92 6.92
CB0466 central 2 0.00 6.83 6.83

Methods paragraph (draft, auto-generated)

A connectome-constrained leaky integrate-and-fire model of the adult Drosophila brain (FlyWire FAFB v783; 52,547 neurons and 5,540,690 connections in 'sensory-motor' mode; neuron parameters from Shiu et al. 2024) was simulated on a GPU at a 0.1 ms time step, in closed loop with the NeuroMechFly v2 body (FlyGym 2.1, MuJoCo 3.9.0). Audio (Megadeth "Sweating bullets" (Countdown to extinction, 1992), excerpt from 60 s) was calibrated to 85 dB SPL (RMS) at 1 m (track_rms calibration) and played from a virtual point source 355 mm from the fly's start position. Air particle velocity at each antenna was computed in 20 log-spaced bands (15–1500 Hz), including the acoustic near field and a cosine directional sensitivity. It was converted into Poisson firing rates of the FlyWire-annotated Johnston's organ neurons (JO-A to JO-E) through a resonant antenna filter and subgroup-specific frequency weighting. Descending-neuron activity (DNp09/oDN1, DNa01/DNa02, MDN, aDN2/DNg11/DNg12, giant fiber) was decoded into a two-dimensional locomotor drive for FlyGym's CPG-based controller, a grooming command (executed with measured front-leg grooming kinematics from an aDN-activated fly; Lobato-Rios et al. 2022) and an escape command (triggering an engineered takeoff-and-flight behaviour with externally applied lift; no wing aerodynamics). The first 2 s of each 8 s run were silent (baseline). Random seed 0.

Interpretation limits

Files