Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Arseniy Gladkov"'
Autor:
Yana Pigareva, Arseniy Gladkov, Vladimir Kolpakov, Victor B. Kazantsev, Irina Mukhina, Alexey Pimashkin
Publikováno v:
Micromachines, Vol 15, Iss 6, p 732 (2024)
Modern microtechnology methods are widely used to create neural networks on a chip with a connection architecture demonstrating properties of modularity and hierarchy similar to brain networks. Such in vitro networks serve as a valuable model for stu
Externí odkaz:
https://doaj.org/article/e198416c0dbb456492f085c63c462087
Autor:
Yana Pigareva, Arseniy Gladkov, Vladimir Kolpakov, Anton Bukatin, Sergei Li, Victor B. Kazantsev, Irina Mukhina, Alexey Pimashkin
Publikováno v:
Micromachines, Vol 14, Iss 4, p 835 (2023)
The complex synaptic connectivity architecture of neuronal networks underlies cognition and brain function. However, studying the spiking activity propagation and processing in heterogeneous networks in vivo poses significant challenges. In this stud
Externí odkaz:
https://doaj.org/article/0df3c870591145c2b47d7165de4a5d97
Autor:
Kenta Shimba, Chih-Hsiang Chang, Takahiro Asahina, Fumika Moriya, Kiyoshi Kotani, Yasuhiko Jimbo, Arseniy Gladkov, Oksana Antipova, Yana Pigareva, Vladimir Kolpakov, Irina Mukhina, Victor Kazantsev, Alexey Pimashkin
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Neuroengineering methods can be effectively used in the design of new approaches to treat central nervous system and brain injury caused by neurotrauma, ischemia, or neurodegenerative disorders. During the last decade, significant results were achiev
Externí odkaz:
https://doaj.org/article/7511304e2bc54d67ae3d1d3a26d485f8
Autor:
Yana Pigareva, Arseniy Gladkov, Vladimir Kolpakov, Irina Mukhina, Anton Bukatin, Victor B. Kazantsev, Alexey Pimashkin
Publikováno v:
Brain Sciences, Vol 11, Iss 6, p 717 (2021)
The structured organization of connectivity in neural networks is associated with highly efficient information propagation and processing in the brain, in contrast with disordered homogeneous network architectures. Using microfluidic methods, we engi
Externí odkaz:
https://doaj.org/article/7652b575af344d88b15e39ffe7ddb7c3
Autor:
Arseniy Gladkov, Oleg Grinchuk, Yana Pigareva, Irina Mukhina, Victor Kazantsev, Alexey Pimashkin
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0192468 (2018)
The phenomena of synchronization, rhythmogenesis and coherence observed in brain networks are believed to be a dynamic substrate for cognitive functions such as learning and memory. However, researchers are still debating whether the rhythmic activit
Externí odkaz:
https://doaj.org/article/39d31324955f46918a9c6b7de70f1afa
Autor:
Vladimir Kolpakov, Anton Bukatin, Arseniy Gladkov, Alexey Pimashkin, Yana Pigareva, Victor B. Kazantsev, Irina Mukhina
Publikováno v:
2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).
Neural networks modularity is a major challenge to study spiking pattern propagation and information processing in the brain. Sparse and heterogeneous connectivity between network modules defines spiking activity generation and interplay. Detailed st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e094534feebb88485502a55dd391de7
https://doi.org/10.1109/cnn53494.2021.9580356
https://doi.org/10.1109/cnn53494.2021.9580356
Autor:
Victor B. Kazantsev, Irina Mukhina, Vladimir Kolpakov, Arseniy Gladkov, Yana Pigareva, Anton Bukatin, Alexey Pimashkin
Publikováno v:
Brain Sciences
Brain Sciences, Vol 11, Iss 717, p 717 (2021)
Volume 11
Issue 6
Brain Sciences, Vol 11, Iss 717, p 717 (2021)
Volume 11
Issue 6
The structured organization of connectivity in neural networks is associated with highly efficient information propagation and processing in the brain, in contrast with disordered homogeneous network architectures. Using microfluidic methods, we engi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7644c8680f0b912b90dc88c930283987
http://europepmc.org/articles/PMC8229331
http://europepmc.org/articles/PMC8229331
Autor:
Arseniy Gladkov, Victor B. Kazantsev, Irina Mukhina, Alexey Pimashkin, Vladimir Kolpakov, Yana Pigareva, Anton Bukatin, Oxana Antipova
Publikováno v:
DeSE
Neuronal networks in vitro today are more often used in a study of basic mechanisms of synaptic plasticity, information coding/decoding and learning. However, such neuronal circuit model lacks ordered connectivity of a network architecture which is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1543eb96d55470d7b35955cb1b2deb4
https://doi.org/10.1109/dese.2019.00105
https://doi.org/10.1109/dese.2019.00105
Autor:
Marta, Bisio, Alexey, Pimashkin, Stefano, Buccelli, Jacopo, Tessadori, Marianna, Semprini, Timothée, Levi, Ilaria, Colombi, Arseniy, Gladkov, Irina, Mukhina, Alberto, Averna, Victor, Kazantsev, Valentina, Pasquale, Michela, Chiappalone
Publikováno v:
Advances in neurobiology. 22
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c85fb94c5ea0bdd07edf9afdedf1987d
https://pubmed.ncbi.nlm.nih.gov/31073944
https://pubmed.ncbi.nlm.nih.gov/31073944
Autor:
Victor B. Kazantsev, Irina Mukhina, Alberto Averna, Valentina Pasquale, Marianna Semprini, Ilaria Colombi, Jacopo Tessadori, Timothée Levi, Arseniy Gladkov, Marta Bisio, Stefano Buccelli, Alexey Pimashkin, Michela Chiappalone
Publikováno v:
Advances in Neurobiology ISBN: 9783030111342
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb46db9a4e9821c1a9b350674566605
https://doi.org/10.1007/978-3-030-11135-9_15
https://doi.org/10.1007/978-3-030-11135-9_15
