Evolutionarily Optimized Network Topology as a Structural Prior for Data-Efficient Sparse Neural Classification
The paper tests if evolutionarily optimized network topologies can improve data efficiency in neural classifiers, finding that biologically derived sparse networks outperform synthetic alternatives with similar sparsity.
bioRxiv · Mar 13, 2026 · PreprintNeuroscience