A. V. Savel-ev

The results of cross-cutting problem of the relationship between neuroscience, sociology and communication science, in particular, neurocomputing are adduceed. Until now, despite the universality of the penetration of information technologies in social policies is not overcoming the barrier between the language of technical sciences and neurobiology. This is reflected in a negative way, primarily on the mutual use of the results. In particular, the huge amount of knowledge were gained by neuroscience is not applied in neurocomputing. And even more so, many experts in the field neurocomputing unaware of the existence of neurobiological knowledge. This is reflected in the concepts of primitivism, lagging behind fromthe needs of the Information Society. However, efforts to address this imbalance produced little of substance in the last 35 years. Purpose of the article - to develop a common methodology for solving this problem based on copyright developments in methodology and practice neurosimulation. For solving were involved in representative methods of M. Wartofskiy in the author's modification of the synthesis with a set-theoretic approach would eliminate a number of unsolved problems in the theory of representation. In addition, the proposed criteria of similarity, by which discovered and proved the phenomenon of increasing similarity of neurobiology with natural and technical sciences in time, as well as its highly asymmetric. This allowed us to analyze qualitatively and to estimate the onto-epistemological adequacy of the number of postulates neurocomputing and neural network approach with the main concepts of neurophysiology, such as the reflex arc of I.P. Pavlov, functional system of P.K. Anokhin and his followers, the associativity. Marked increase in the activity component in these concepts during the transition to a later time of their creation. Detected and analyzed with the general technological development of society and draw conclusions about the natural rapprochement neuroscience with information science. In this case highlighted the asymmetry of this rapprochement with the increase transformability neurobiology and technologization its concepts. The reasons for this is consisting of more creative potential of engineering sciences at the expense of much greater involvement in their activity components. Also, the conclusions about the orientation of efforts to move forward in analyzing areas are made that will allow more efficient use of artificial neural networks and the development of modern neurocomputing new generation.