A research team from Tyumen State University designed a biomorphic neuroprocessor capable of imitating various neural processes as complex as those handled by the cortical column in the human brain.

Axar.az reports citing RIA Novosti.

Tyumen State University researchers defined a biomorphic neuroprocessor as an autonomous hardware unit capable of performing neural network tasks. It will be based on the Hodgkin-Huxley biomorphic electrical neuron model.

"We presented electrical schemes, a topology, a nanotechnology for making the neuroprocessor, and how its main nodes, the super-large 3D storage and logical matrices, will work," Sergei Udovichenko, professor at the Department of Applied and Technical Physics at Tyumen State University, told RIA Novosti.

According to the researcher, a storage matrix is a 3D structure formed by identical combined memristor-diode crossbars placed in a mirror pattern. Apart from storing information, it also handles some of the processing for the neural network by adding up input signals.

"Accordingly, the logical matrix is intended for performing logical functions, routing signals, as well as processing video and audio signals in the neuroprocessor's input device. Its 3D structure consists of identical perpendicular layers, connected to selective diodes through memristor crossbars," Udovichenko said.