AUTHOR=Mikhaylov Alexey , Pimashkin Alexey , Pigareva Yana , Gerasimova Svetlana , Gryaznov Evgeny , Shchanikov Sergey , Zuev Anton , Talanov Max , Lavrov Igor , Demin Vyacheslav , Erokhin Victor , Lobov Sergey , Mukhina Irina , Kazantsev Victor , Wu Huaqiang , Spagnolo Bernardo TITLE=Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics JOURNAL=Frontiers in Neuroscience VOLUME=14 YEAR=2020 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.00358 DOI=10.3389/fnins.2020.00358 ISSN=1662-453X ABSTRACT=

Here we provide a perspective concept of neurohybrid memristive chip based on the combination of living neural networks cultivated in microfluidic/microelectrode system, metal-oxide memristive devices or arrays integrated with mixed-signal CMOS layer to control the analog memristive circuits, process the decoded information, and arrange a feedback stimulation of biological culture as parts of a bidirectional neurointerface. Our main focus is on the state-of-the-art approaches for cultivation and spatial ordering of the network of dissociated hippocampal neuron cells, fabrication of a large-scale cross-bar array of memristive devices tailored using device engineering, resistive state programming, or non-linear dynamics, as well as hardware implementation of spiking neural networks (SNNs) based on the arrays of memristive devices and integrated CMOS electronics. The concept represents an example of a brain-on-chip system belonging to a more general class of memristive neurohybrid systems for a new-generation robotics, artificial intelligence, and personalized medicine, discussed in the framework of the proposed roadmap for the next decade period.