OpenWorm is an open-source, volunteer-driven project with an audacious goal: to build the first complete digital simulation of a living organism. Its target is Caenorhabditis elegans, the millimetre-long nematode whose nervous system - exactly 302 neurons and about 959 cells in total - was fully mapped by White and colleagues in 1986, making it the best-understood animal in biology.
The project tries to go beyond a static wiring diagram to a working model. That means simulating not just the connectome but the physics of the worm’s body: its muscles, soft tissue, and the fluid it moves through, so that simulated neural activity can produce simulated movement. All of the code, data, and models are released under an open-source license, and the work is coordinated by a distributed community through public repositories and online meetings rather than a single lab.
OpenWorm sits at one extreme of the neuroscience-and-AI conversation. It is a bet that the way to understand a nervous system is to reconstruct it completely and run it - a bottom-up, biologically faithful counterpoint to the top-down, data-trained artificial neural networks that dominate AI.
The honest assessment is that even the simplest animal has proven extraordinarily hard to simulate faithfully. After more than a decade, OpenWorm has produced useful tools and partial models but not a fully behaving virtual worm, a humbling marker of how much remains unknown about turning a known connectome into life-like behavior.