Aging, computation, and the evolution of neural regeneration processes
A. Olle-Vila, L. F. Seoane, R. Sole
The paper uses a multiobjective optimization approach to study how neural networks degrade and regenerate over an organism's lifespan, finding Pareto optimal tradeoffs between computational error, connection cost, and regeneration rate.
bioRxiv · Mar 13, 2020 · PreprintEvolutionary Biology