The memristive artificial neuron high level architecture for biologically inspired robotic systems

Talanov, Max; Zykov, E. Yu.; Erokhin, Victor; Magid, Evgeni; Distefano, Salvatore

doi:10.1109/icmsc.2017.7959470

Cited by 5 publications

(1 citation statement)

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“…This work triggered the discussion of the option to use stochastic memristive devices of different nature as main building block of neuromorphic prosthesis relocating functions and topology of natural neuronal circuits. Some steps in this direction have been already presented (Talanov et al, 2018b) including blueprints of a memristive neuron circuit (Talanov et al, 2017a(Talanov et al, ,b, 2018a. As the number of memristive neurons available grows and the technology of their fabrication becomes more and more mature, we could expect the rise of the number of spiking solutions for the reimplementation of neuronal structures as electronic memristive circuits with more and more bio-plausible functions.…”

Section: Memristive Neural Arcitectures: Toward Neuroprostheticsmentioning

confidence: 99%

Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics

et al. 2020

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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 crossbar 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 newgeneration robotics, artificial intelligence, and personalized medicine, discussed in the framework of the proposed roadmap for the next decade period.

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Section: Memristive Neural Arcitectures: Toward Neuroprostheticsmentioning

confidence: 99%