What does the wiring contribute?
A connectome describes the connections in a nervous system. These wiring patterns offer a starting point for asking how the organization of a network affects what it can learn.
We are interested in situations where learning signals are limited. The experiments will examine how a network’s initial structure and learning rules interact under those constraints.
Making a fair comparison.
A biological wiring pattern may differ from another network in many ways. To understand what its organization contributes, we need controls that account for simpler differences in network size, connection counts, and training conditions.
| Comparison | What it helps us examine |
|---|---|
| Random networks | Match the number of connections to examine what organization adds. |
| Rewired networks | Preserve each node’s connection counts while changing the wiring pattern. |
| Synthetic structures | Vary patterns of local and long-range connectivity. |
| Conventional architectures | Train computational networks under comparable conditions. |
Preparing the ground.
We are developing the experiments and tools for this work. As the research develops, we aim to share methods, code, and findings that others can inspect and reproduce.
Follow the code on GitHub How we work