Release:2016, Vol. 2. №1
About the authors:Alexander N. Busygin, Postgraduate Student, Department of Applied and Technical Physics, Reseacher Laboratory Assistant, REC “Nanotechnology”, University of Tyumen; eLibrary AuthorID, ScopusID, firstname.lastname@example.org
The article discusses the electronic device for the simulation of biomorphic neural networks which combines programmable microcontrollers and a non-volatile memristor memory, and it is compatible with a personal computer. The device is positioned as a research platform to develop the most effective architecture for a corticomorphic processor. A single-layer perceptron for the primary association of the input data and the biomorphic neural network are chosen as its initial architecture. The article discusses the features of biomorphic neural networks and their adaptation to the device.