What it is
Analysing the millimetre-scale MICrONS dataset of mouse visual cortex, researchers found that neurons with similar visual responses preferentially connect within and across cortical layers and areas, including feedback. A validated digital twin showed that only a neuron's feature tuning, not its receptive-field location, predicts fine-scale synaptic connections beyond axon-dendrite proximity. Recurrent networks trained on a simple task developed the same like-to-like connectivity, and ablating those connections hurt performance more than removing random ones.
Why it matters
Wiring diagrams have lacked general rules linking function to connectivity. A like-to-like principle that holds across areas and re-emerges in artificial networks suggests a shared design constraint for sensory processing and learning.
Underlined numbers link to their source. Every metric and quoted figure is listed under Sources and data below.
Filed underconnectomics, visual cortex, MICrONS, neural networks, synaptic connectivity