Russian scientists create a prototype neural network based on memristors

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Lobachevsky University scientists under the supervision of Alexey Mikhailov, Head of the UNN PTRI Laboratory of Thin Film Physics and Technology, are working to develop an adaptive neural interface that combines, on the one hand, a living culture, and on the other, a neural network based on memristors.
This project is one if the first attempts to combine living biological culture with a bio-like neural network based on memristors. Memristor neural networks will be linked to a multi-electrode system for recording and stimulating the bioelectrical activity of a neuron culture that performs the function of analyzing and classifying the network dynamics of living cells.
Currently, researchers are exploring the possibility of constructing a feedback whereby the output signal from the memristor network will be used to stimulate the biological network. Actually, it means that for the first time the process of learning will be realized for a living cell culture. The living culture used by the scientists is an artificially grown neuronal culture of brain cells. In principle, however, one can also use a slice of living tissue.
The use of hybrid neural networks based on memristors opens up amazing prospects. First, with the help of memristors it will be possible to implement the computing power of modern supercomputers on a single chip. Secondly, it will be possible to create robots that manage an artificially grown neuronal culture. Thirdly, such “brain-like” electronic systems can be used to replace parts of the living nervous system in the event of their damage or disease.