 erojasoficial-byte
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c4117987e7
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Add two-fly experiment, neural integration paper, and full experimental data
- Two-fly simultaneous brain simulation (two_flies.py): identical connectomes
develop emergent individuality through independent sensory experience
- Neural integration metrics (consciousness.py): IIT Phi, Global Workspace
broadcast, Self-Model, Perturbation Complexity — computed every 500ms
- Hebbian synaptic plasticity across all 15M synapses with weight tracking
- Physics watchdog for automatic NaN/freeze recovery in long runs
- Procedural arena with chunk-based world generation (procedural_arena.py)
- Paper: "Emergent Individuality in Whole-Brain Connectome Simulations of
Drosophila melanogaster" (English + Spanish, 14 pages, 10 figures)
- 20 experimental sessions (8 paired two-fly + 4 single-fly baselines)
- Plasticity weight snapshots for both flies after 24h of simulation
- Analysis scripts for plasticity divergence, overnight evolution
- Publication-quality figures at 300 DPI (paper_figures/)
- Restructured README for bioRxiv reproducibility
- Git LFS for large binary files (*.pt, *.mp4)
- Removed old paper drafts superseded by programmatic generation
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2026-03-12 19:10:12 -05:00 |
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erojasoficial-byte
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c1d089dc3b
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Embodied Drosophila: whole-brain connectome simulation in a biomechanical body
138,639 LIF neurons (FlyWire v783, GPU/PyTorch) connected to NeuroMechFly v2
(MuJoCo) with compound-eye vision, olfaction, gustation, somatosensation,
courtship song, virtual flight, and proboscis extension.
Includes benchmark suite (Brian2, Brian2CUDA, PyTorch, NEST GPU),
project website, and technical papers (EN/ES).
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2026-03-10 22:25:04 -05:00 |
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