# GarageFly run report: `20260924-123301_white_noise_s6`

*Generated 2026-09-24T12:38:27 · condition **white_noise** · seed 6 · 30 s simulated (323 s wall)*

## Setup

- **Stimulus:** Gaussian white noise, loudness-matched
- **Audio source:** `synthetic:white_noise:{}`
- **Playback level:** 85 dB SPL RMS at 1 m (track_rms); ambient noise 30 dB SPL
- **Speaker distance from start position:** 355 mm
- **Baseline (silent) period:** 0–10.0 s; stimulus period: 10.0–30.0 s
- **Brain:** sensory-motor mode, 52,547 neurons, 5,540,690 connections (FlyWire v783)
- **Software:** Python 3.12.13, PyTorch 2.14.0+cu130, MuJoCo 3.9.0, GPU NVIDIA GeForce RTX 3090

## 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).

- Auditory Johnston's-organ neurons (JO-A/B, mean of both sides) fired at 11.9 Hz during the stimulus vs 2.1 Hz at baseline.
- Wind/gravity-sensitive JO-C/E neurons: 2.2 Hz vs 2.0 Hz.
- Mean walking speed was 11.62 mm/s during the stimulus vs 11.99 mm/s at baseline (-3%).
- Turning bias: -43.9 deg/s vs -46.5 deg/s (+ = leftward); freezing fraction 0.00 vs 0.00.
- Giant-fiber (escape) DN rate: 1.1 Hz vs 0.0 Hz; 6 escape-command episodes during the stimulus (0 at baseline). Each can trigger a takeoff unless the fly is already airborne or within the post-landing refractory period.
- Behaviour: walking 34%, grooming 0.0%, flight 66% of the stimulus period (15.0 takeoffs/min, 0.0 grooming bouts/min) vs walking 100%, grooming 0.0%, flight 0% at baseline.

> 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](20260924-123301_white_noise_s6_report.png)

## Behaviour

| Measure | Baseline | Stimulus | Change |
|---|---|---|---|
| Fraction of time walking | 1.00 | 0.34 | -0.66 |
| Fraction of time grooming (body) | 0.00 | 0.00 | 0.00 |
| Fraction of time in flight | 0.00 | 0.66 | 0.66 |
| Takeoffs per minute | 0.00 | 15.00 | 15.00 |
| 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) | 11.99 | 11.62 | -0.38 |
| Distance travelled (mm) | 120.08 | 620.34 | 500.25 |
| Fraction of time freezing | 0.00 | 0.00 | 0.00 |
| Mean |angular velocity| (deg/s) | 46.71 | 44.45 | -2.26 |
| Turning bias (deg/s, + = left) | -46.53 | -43.90 | 2.62 |
| Fraction of time grooming command active | 0.00 | 0.00 | 0.00 |
| Escape (giant fiber) command episodes | 0.00 | 6.00 | 6.00 |
| Escape command episodes per minute | 0.00 | 18.00 | 18.00 |
| Fraction of time escape command active | 0.00 | 0.08 | 0.08 |
| Mean distance to speaker (mm) | 326.33 | 347.58 | 21.25 |

## Neural activity: sensory input and descending output

| Neuron group | Baseline (Hz) | Stimulus (Hz) | Change (Hz) |
|---|---|---|---|
| JO-A (left) | 2.15 | 10.79 | 8.64 |
| JO-A (right) | 2.09 | 16.52 | 14.43 |
| JO-B (left) | 2.00 | 8.52 | 6.52 |
| JO-B (right) | 1.99 | 11.64 | 9.65 |
| JO-C (left) | 1.96 | 2.14 | 0.19 |
| JO-C (right) | 2.16 | 2.19 | 0.03 |
| JO-D (left) | 1.95 | 2.11 | 0.16 |
| JO-D (right) | 1.90 | 2.20 | 0.30 |
| JO-E (left) | 1.99 | 2.14 | 0.15 |
| JO-E (right) | 1.97 | 2.19 | 0.21 |
| JO-F (left) | 1.99 | 1.96 | -0.03 |
| JO-F (right) | 1.99 | 2.04 | 0.05 |
| DNp09 (left) | 30.78 | 30.99 | 0.22 |
| DNp09 (right) | 30.78 | 31.00 | 0.22 |
| oDN1 (left) | 46.17 | 46.32 | 0.15 |
| oDN1 (right) | 39.97 | 41.05 | 1.07 |
| 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) | 6.20 | 7.46 | 1.26 |
| 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 | 2.17 | 2.17 |
| 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 | 0.0001 |
| central | 0.0003 | 0.0018 |
| descending | 0.1620 | 0.2092 |
| endocrine | 0.0000 | 0.0000 |
| motor | 0.0564 | 0.0773 |
| sensory | 0.1277 | 0.3263 |
| 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-A4 | sensory | 2 | 1.55 | 19.68 | 18.12 |
| JO-A1 | sensory | 21 | 2.18 | 17.47 | 15.30 |
| DNg29 | descending | 2 | 0.05 | 12.40 | 12.35 |
| JO-A5 | sensory | 37 | 2.12 | 14.44 | 12.32 |
| JO-A2 | sensory | 33 | 2.10 | 12.02 | 9.93 |
| JO-B4_b | sensory | 25 | 2.08 | 11.03 | 8.95 |
| JO-B2 | sensory | 36 | 2.02 | 10.89 | 8.87 |
| JO-B1_c | sensory | 22 | 1.95 | 10.30 | 8.35 |
| JO-B3 | sensory | 29 | 1.96 | 9.70 | 7.74 |
| JO-B1_a | sensory | 105 | 1.97 | 9.55 | 7.58 |
| JO-B4_a | sensory | 15 | 2.27 | 9.50 | 7.23 |
| JO-B1_b | sensory | 27 | 1.90 | 7.69 | 5.79 |
| DNg24 | descending | 2 | 0.00 | 5.22 | 5.22 |
| CB0478 | central | 2 | 0.05 | 3.95 | 3.90 |
| DNb06 | descending | 2 | 0.05 | 3.95 | 3.90 |

## Most responsive downstream (non-sensory) cell types

| cell_type | super_class | n_neurons | baseline_hz | stimulus_hz | delta_hz |
|---|---|---|---|---|---|
| DNg29 | descending | 2 | 0.05 | 12.40 | 12.35 |
| DNg24 | descending | 2 | 0.00 | 5.22 | 5.22 |
| CB0478 | central | 2 | 0.05 | 3.95 | 3.90 |
| DNb06 | descending | 2 | 0.05 | 3.95 | 3.90 |
| CB1817a | central | 2 | 0.00 | 3.75 | 3.75 |
| CB3876 | central | 1 | 0.00 | 3.15 | 3.15 |
| CB3882 | central | 1 | 0.00 | 2.80 | 2.80 |
| CB3913 | central | 1 | 0.00 | 1.60 | 1.60 |
| CB3916 | central | 1 | 3.00 | 1.40 | -1.60 |
| DNa16 | descending | 2 | 7.70 | 6.20 | -1.50 |
| CB0307 | central | 2 | 0.00 | 1.48 | 1.48 |
| DNg84 | descending | 2 | 0.00 | 1.30 | 1.30 |
| DNg15 | descending | 2 | 0.00 | 1.30 | 1.30 |
| CB0706 | motor | 2 | 3.10 | 4.25 | 1.15 |
| DNa06 | descending | 2 | 3.10 | 4.25 | 1.15 |

## 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 (Gaussian white noise, loudness-matched) 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 10 s of each 30 s run were silent (baseline). Random seed 6.

## Interpretation limits

- JO transfer functions, playback level, decoder gains and the tonic walking bias are **arbitrary parameters** (provenance in the run's JSON metadata). Conclusions should be checked for robustness to them.
- The ventral nerve cord is not simulated. Walking is produced by an engineered CPG controller driven by a few descending neurons.
- No substrate (bench) vibration, room acoustics, active antennal amplification, neuromodulation or gap junctions are modelled.
- Grooming uses measured kinematics but has no antennal contact mechanics. Flight is an engineered abstraction (applied lift/thrust, attitude PD); its speed, altitude and duration are arbitrary.
- Full list: `docs/MODEL_LIMITATIONS.md`.

## Files

- Raw data: `20260924-123301_white_noise_s6.h5` (HDF5; behaviour, neural group rates, all spikes, stimulus)
- Metadata: `20260924-123301_white_noise_s6.json`
- Machine-readable summary: `20260924-123301_white_noise_s6_summary.json`