A Model for Neural Network Development Between Cell Division and Learning

摘要

We put forward a model of neural network development that is closely related to biological processes and that can easily be combined with genetic algorithms and learning procedures. Our main goal is to account for the emergence of structural and functional complexity in NNs (e. g.. the segregation of specialized neuronal groups) as a result of adaptation to an environment taking into account evolution, development, and learning.