A MATHEMATICAL MODEL OF SENSATION NEURON DETECTION BASED ON ATTRIBUTIVE ABSTRACTION AND INTEGRATION

A mathematical model of sensation neuron detection, which is based on attributive abstraction and integration, is presented in this paper. It is shown that both spatial frequency analysis theory and feature abstraction theory can be uniformed in this model, and it is not only an attributive semantic extension of artificial neural networks, but also an integration of symbol mechanism and network mechanism.