<title>Different types of theories in neurocomputation</title>

Abstract

In this work we undertake the task of making a classification of the various existing paradigms used in the field of Artificial Neural Networks. Our critenon for classification is the degree of formalism of any of them, ranging from purely formal accounts like those of Hecht-Nielsen16 to models of purely physiological inspiration, such as the Darwin II network27. From our overview we can see that the field is far from being either homogeneous, organized or formal. From this we conclude that more work has to be made to find an unifying formalism. In its present state the field is nothing but a technology with many points of view, but not a Science.