Hybrid approaches and human brain activity modelling

Abstract

The traditional approach to human brain modeling suggests modification of modern systems and microcircuits as long as their performance reaches a permissible limit. A different hybrid approach is based on neuromorphic computing. The idea we utilize is combination of artificial neural networks with specialized microcircuits. The architecture of the microchip needs to reproduce the mechanisms of the human brain and to be a kind of hardware support for neural networks. Existing models of the brain even on powerful supercomputers require significant computation time and are not yet able to solve problems in real time. Since the human brain consists of two parts with different functions and different data processing principles, there is a very promising approach which suggests combining digital and analog systems into single one. In current collaboration we incorporate some results of study of activity of human brain as a base of building of hybrid computational system and foundation to the approach of running it.