Basic properties of symmetric random matrices can explain the emergence of macroscopic patterns in neural networks, suggesting that initialization conditions of connected neural populations may confer computational advantages across the mouse brain.
All experimental procedures were conducted according to the Institutional Animal Care and Use Committee (IACUC) at Howard Hughes Medical Institute (HHMI) Janelia. Data analysis and simulations were p⦠[+31083 chars]