V
Vyacheslav A. Demin
Researcher at Kurchatov Institute
Publications - 92
Citations - 1501
Vyacheslav A. Demin is an academic researcher from Kurchatov Institute. The author has contributed to research in topics: Neuromorphic engineering & Memristor. The author has an hindex of 18, co-authored 80 publications receiving 1009 citations. Previous affiliations of Vyacheslav A. Demin include Moscow State University & Moscow Institute of Physics and Technology.
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Journal ArticleDOI
Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics.
Alexey Mikhaylov,Alexey Pimashkin,Yana Pigareva,S. A. Gerasimova,E.G. Gryaznov,S.A. Shchanikov,Anton Zuev,Max Talanov,Igor Lavrov,Igor Lavrov,Vyacheslav A. Demin,Victor Erokhin,Victor Erokhin,Victor Erokhin,Sergey Lobov,Irina Mukhina,Victor B. Kazantsev,Huaqiang Wu,Bernardo Spagnolo,Bernardo Spagnolo,Bernardo Spagnolo +20 more
TL;DR: 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.
Journal ArticleDOI
Transfer of Silver Nanoparticles through the Placenta and Breast Milk during in vivo Experiments on Rats.
E A Melnik,Yu. P. Buzulukov,V. F. Demin,Vyacheslav A. Demin,I V Gmoshinski,N V Tyshko,Victor A. Tutelyan +6 more
TL;DR: For the first time experimental evidence of the transfer of NPs from mother to offspring through the placenta and breast milk was obtained.
Journal ArticleDOI
Hardware elementary perceptron based on polyaniline memristive devices
Vyacheslav A. Demin,Vyacheslav A. Demin,Victor Erokhin,Victor Erokhin,Andrey V. Emelyanov,Silvia Battistoni,Giacomo Baldi,Salvatore Iannotta,Pavel K. Kashkarov,Mikhail V. Kovalchuk +9 more
TL;DR: The physical realization of an elementary perceptron demonstrates the ability to form the hardware-based neuromorphic networks with the use of organic memristive devices with a great promise toward new approaches for very compact, low-volatile and high-performance neurochips that could be made for a huge number of intellectual products and applications.
Journal ArticleDOI
First steps towards the realization of a double layer perceptron based on organic memristive devices
Andrey V. Emelyanov,Andrey V. Emelyanov,D. A. Lapkin,D. A. Lapkin,Vyacheslav A. Demin,Vyacheslav A. Demin,Victor Erokhin,Victor Erokhin,Silvia Battistoni,Giacomo Baldi,Alice Dimonte,A. N. Korovin,Salvatore Iannotta,Pavel K. Kashkarov,Mikhail V. Kovalchuk +14 more
TL;DR: In this paper, the authors demonstrate linearly nonseparable combinational logic classification (XOR logic task) using a network implemented with CMOS-based neurons and organic memrisitive devices that constitutes the first step toward the realization of a double layer perceptron.
Journal ArticleDOI
Parylene Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications
A. A. Minnekhanov,Andrey V. Emelyanov,Andrey V. Emelyanov,Dmitry A. Lapkin,Dmitry A. Lapkin,K. E. Nikiruy,K. E. Nikiruy,Boris S. Shvetsov,A. A. Nesmelov,Vladimir V. Rylkov,Vyacheslav A. Demin,Vyacheslav A. Demin,Victor Erokhin,Victor Erokhin +13 more
TL;DR: It is experimentally shown that parylene-based memristive elements can be trained by a biologically inspired spike-timing-dependent plasticity (STDP) mechanism and the obtained results have been used to implement a simple neuromorphic network model of classical conditioning.