Extent to which connectomics constrains network function

Ascertain the extent to which anatomical connectome structure constrains or determines functional neural computations, including how structured versus random connectivity components influence the operation and perturbability of latent processing units embedded in neural dynamics.

Background

In simulations adding random connections to a low-rank structured network, the authors show that functional LPU dynamics can be obscured by dense random connectivity while remaining operational. This motivates a broader question about the relationship between anatomical connectivity and functional computation.

Quantifying how connectomic structure constrains function, especially in the presence of redundant tuning and curved neural manifolds, would inform interpretation of connectome datasets and guide perturbation strategies targeting effective coding subspaces.