E. Szathmary

Stochastic parabolic growth promotes coexistence and a relaxed error threshold in RNA-like replicator populations

This study shows that stochastic parabolic growth in RNA-like replicator populations promotes coexistence and reduces the error threshold, supporting diversity maintenance in early evolutionary systems.

From Bayes to Darwin: evolutionary search as an exaptation from sampling-based Bayesian inference

The paper demonstrates how Darwinian evolution can emerge from Bayesian inference through collective selection in high-dimensional environments.

Evolutionary implementation of Bayesian computations

This paper establishes an algorithmic analogy between Bayesian computations and evolutionary dynamics by showing their equivalent dynamical equations and mapping Bayesian concepts to evolutionary concepts.

Phenotypes to remember: Evolutionary developmental memory capacity and robustness

The paper investigates how developmental memories of past phenotypes form, persist, and are robust in genetic and neural networks, using analogies between these systems.

Evolution of linkage and genome expansion in protocells

This study shows that chromosomes evolve in protocells despite replicative disadvantages, leading to increased genome size and multigene families due to reduced assortment load.

Major evolutionary transitions as Bayesian structure learning

This paper establishes mathematical equivalences between evolutionary transitions in individuality and Bayesian structure learning in hierarchical models.

Caring for parents: an evolutionary rationale

The paper uses a demographic model to show that a rule encouraging resource allocation to post-fertile parents can spread through Darwinian competition despite reducing fertility rates of parents.