Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics
In: Frontiers in Neuroscience, Jg. 14 (2020-04-28)
Online
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Zugriff:
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.
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Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics
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Autor/in / Beteiligte Person: | 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 |
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Zeitschrift: | Frontiers in Neuroscience, Jg. 14 (2020-04-28) |
Veröffentlichung: | Frontiers Media SA, 2020 |
Medientyp: | unknown |
ISSN: | 1662-453X (print) |
DOI: | 10.3389/fnins.2020.00358 |
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