The nematode worm (scientific name C. elegans) is a simple-minded animal: it has exactly 302 neurons (compare that to a human’s roughly 100 billion). The pattern of connections between these neurons was painstakingly mapped out decades ago using electron microscopy, but it turns out that knowledge of the connections is not sufficient to understand (or even replicate) the information processor they represent. For example, some connections are inhibitory while others are excitatory, but this map doesn’t say which is which.

In order to learn how one neuron affects another, we need to see what happens when the first neuron is activated. NEMALOAD (“nematode upload”) is a project to integrate a number of recent technologies that should make this feasible, at least in C. elegans, and using this capability to replicate the information processing structure that governs the worm’s behavior in a digital model.