fly-sud-simulation / README.md
Histochemichael's picture
Publish V4b results, comparison, protocols and individual choices
691238b verified
|
Raw History Blame Contribute Delete
5.21 kB
metadata
language:
  - en
pretty_name: FlyWire-informed fly odor-reward simulation — V4b
tags:
  - neuroscience
  - drosophila
  - flywire
  - mujoco
  - simulation
  - associative-learning
configs:
  - config_name: v4b_choices
    default: true
    data_files:
      - split: calibration
        path: tables/v4b_calibration_choices.parquet
      - split: validation
        path: tables/v4b_validation_choices.parquet
  - config_name: v4_failed_calibration
    data_files:
      - split: calibration
        path: tables/v4_calibration_choices.parquet

FlyWire-informed odor-reward simulation: individual-behavior V4b

The full predeclared validation FAILED. This is synthetic simulation data, not measured fly behavior or a quantitative reproduction of Kaun et al. (2011).

Detailed results · Code and protocols

Paper versus simulation

Findings and limitations

256 independently seeded validation flies, four conditions (paired, unpaired, untrained, retrieval-DAN-silenced), two delays (30 min, 24 h), 32 flies per cell: 8 reciprocal replicate pairs with 2 flies per odor group. Paired CPI was -0.59375 ± 0.13311 SEM early and +0.46875 ± 0.15264 late. Paired-versus-unpaired exact two-sided paired sign-flip tests gave Holm-adjusted p=0.03125 and p=0.09375. The late contrast failed the declared statistical gate. Ten stationary nonresponders remain in denominators. No selective exclusions or post-validation tuning were performed.

Both timing points informed calibration: independent validation seeds assess model repeatability, not held-out time-course prediction or biological validity. Individual variation is modeled, not fitted to measured individual flies. The memory transition remains too early; 7-day persistence and shock resistance are not reproduced. The paper and simulation use different tests and group sizes. CPI SEM is across reciprocal pairs, not a standard deviation of individual paths.

Included runs

  • V4 failed calibration: 48 trials at gains 5, 20, 80, using the same 16 seed profiles across gains (common random numbers). No candidate passed.
  • V4b calibration: 32 new flies at predeclared gain 50.
  • V4b validation: 256 new flies after freezing the selected configuration.

Failed calibration records are preserved. Earlier V1/V2/V3 experiments are not pooled into these tables. Original V1 archives remain in the GitHub release.

Data layout and reuse

Dataset Viewer exposes only explicit individual-choice tables with stable individual_key = version/batch/fly_id. Full records are under raw/v4/ and raw/v4b/. Each trial includes Parquet state/physics/learning histories, summary, individual configuration, replay and NPZ naive/post-training/pre-test/final learning states, including exact FlyWire root IDs. Configuration, seeds, software versions and source snapshots are preserved alongside each run. MANIFEST.json provides SHA-256 checksums for all uploaded files except the manifest itself.

from datasets import load_dataset
choices = load_dataset("Histochemichael/fly-sud-simulation", "v4b_choices")
from huggingface_hub import snapshot_download
folder = snapshot_download("Histochemichael/fly-sud-simulation", repo_type="dataset")

Physics state indices join within the same trial, not globally. Nonresponse latencies are censored at the 120-second assay limit, never zero-latency choices. At an absorbing collection zone physics stops; subsequent hold rows are not walking. Do not invent trajectories beyond collection. Test memory states can be reconstructed from initial state, elapsed time and archived update equations.

Model and compute

Real FlyWire FAFB v783 connectivity informs an 8,570-neuron olfactory/mushroom-body subset. All simulated flies share that reference anatomy; individual connectomes were not measured. Assumed dynamics, noise, memory kinetics and motor decoding are not determined by anatomy. Dopamine is a simplified DAN-to-MBON retrieval gate; this is not mechanistic DAN-to-KC plasticity or a whole-brain simulation. Learning is online associative/reward-modulated, not deep learning or a complete biological addiction model.

Testing uses actual MuJoCo/NeuroMechFly physical dynamics. Conditioning is stationary. Local Intel Core i7-9700F, eight CPU workers; no GPU acceleration. Publishing dependencies may differ from archived experiment environments.

Sources and rights

Kaun et al. (2011), A Drosophila model for alcohol reward, Nature Neuroscience, DOI:10.1038/nn.2805. Primary source. The user-supplied paper figure is retained unchanged for research comparison, not a training example. See attribution. Original author/publisher rights remain; no blanket license is asserted. FlyWire source connectivity is attributed under its CC BY 4.0 source terms: https://zenodo.org/records/10676866 . Branding and other third-party assets retain their own rights. Do not infer an unrestricted license from public access.