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Single-sample learning method and a type of brain activation function

The theoretical framework for neural networks remains incomplete. simulation of the single sample identification process in humans demonstrated that single-sample learning could generate a good generalization model. With the new activation function, we could simulate the frequency response characteristics of different neuronal types and obtained good normalization. Our study demonstrated the similarities between artificial neural networks and human brain processes.