Different regulation mechanisms for evolved critical periods in learning

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “seminal work in Bullinaria (2003, 2007a, 2009b) proposes the more general hypothesis that learning requires the evolution of long periods of parental protection and late onset of maturity. Similarly, Ellefsen (2013b,a) investigates sensitive and critical periods of learning in evolved neural network”