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...ard an Integration of Deep Learning and Neuroscience |journal=Frontiers in Computational Neuroscience |volume=10|pages=94|doi=10.3389/fncom.2016.00094 |pmc=5021692| ...e in the 1990s and 2000s, because of [[artificial neural network]]'s (ANN) computational cost and a lack of understanding of how the brain wires its biological netw

...onment complex enough, the evolutionary process dynamic enough, and enough computational power to simulate trillions of organisms... it will only be a matter of tim Today's most advanced approaches to computational intelligence are through neuroevolution [4,5,6], a combination of artificia

...t it is terminat- ing, and sends to the population_monitor its accumulated statistics (highest fitness, evaluation count, cycle count...). On the other hand, if ...es its NN's phenotype, and forwards the highest achieved fitness and other statistics of its performance to the population_monitor process. If the fitness is not