Modelling brain emergent behaviours through coevolution of neural agents

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “ctions for each neuron, different neuron classes, and other network parameters. They found that evolution was effective in selecting speciﬁc rules from a large set to solve simple linear problems. In Maniadakis and Trahanias (2006), co-evolution was used to evolve agents (each being a network) that ”
Free-energy and the brain (2007, background): “In the theory of genetic algorithms, similar schemes are referred to as hierarchical co-evolution (e.g., Maniadakis and Trahanias, 2006).”