# MKTurkcan

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Mehmet Kerem Turkcan](https://cerebralvalley.ai/u/mkturkcan)
- **GitHub:** https://github.com/mkturkcan/Enactome | https://github.com/mkturkcan/Enactome/blob/main/paper/enactome_manuscript.pdf
- **Demo video:** https://youtu.be/zfk_Hc98qlk
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/213

Enactome is a connectome-constrained simulation platform that loads the BANC Drosophila connectome (composed of 158,262 neurons, 3,990,039 synapses), signs each synapse by its presynaptic transmitter, and evaluates circuit function through rate, integrate-and-fire, and Hodgkin-Huxley neuron models exposed as both an HTTP API and a desktop application. A registry of 35 connectome-derived experiments recreates published findings by simulation, establishing that the lateral horn compresses the odor representation (participation ratio 2.74 to 1.71, exceeding degree-preserving wiring shuffles at z = 6.2) with an aversion bias of roughly 2.2 to 1, and that the central-complex wiring settles to four discrete heading states rather than a continuous ring attractor. A gene-to-cell-type layer links circuits to human disease, showing that fly orthologs of epilepsy and Parkinson genes are enriched in neurons relative to size-matched panels, which matters because it converts a static wiring diagram into reproducible, auditable circuit hypotheses and a translational bridge to disease genetics.

---

Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/213. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt