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Soft integration of a neural cells network and bionic interfaces

Both glial cells and neurons can be considered basic computational units in neural networks, and the brain–computer interface (BCI) can play a role in awakening the latency portion and being sensitive to positive feedback through learning. However, high-quality information gained from BCI requires i...

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Detalles Bibliográficos
Autores principales: Zhang, Jixiang, Wang, Ting, Zhang, Yixin, Lu, Pengyu, Shi, Neng, Zhu, Weiran, Cai, Chenglong, He, Nongyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558115/
https://www.ncbi.nlm.nih.gov/pubmed/36246365
http://dx.doi.org/10.3389/fbioe.2022.950235
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author Zhang, Jixiang
Wang, Ting
Zhang, Yixin
Lu, Pengyu
Shi, Neng
Zhu, Weiran
Cai, Chenglong
He, Nongyue
author_facet Zhang, Jixiang
Wang, Ting
Zhang, Yixin
Lu, Pengyu
Shi, Neng
Zhu, Weiran
Cai, Chenglong
He, Nongyue
author_sort Zhang, Jixiang
collection PubMed
description Both glial cells and neurons can be considered basic computational units in neural networks, and the brain–computer interface (BCI) can play a role in awakening the latency portion and being sensitive to positive feedback through learning. However, high-quality information gained from BCI requires invasive approaches such as microelectrodes implanted under the endocranium. As a hard foreign object in the aqueous microenvironment, the soft cerebral cortex’s chronic inflammation state and scar tissue appear subsequently. To avoid the obvious defects caused by hard electrodes, this review focuses on the bioinspired neural interface, guiding and optimizing the implant system for better biocompatibility and accuracy. At the same time, the bionic techniques of signal reception and transmission interfaces are summarized and the structural units with functions similar to nerve cells are introduced. Multiple electrical and electromagnetic transmissions, regulating the secretion of neuromodulators or neurotransmitters via nanofluidic channels, have been flexibly applied. The accurate regulation of neural networks from the nanoscale to the cellular reconstruction of protein pathways will make BCI the extension of the brain.
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spelling pubmed-95581152022-10-14 Soft integration of a neural cells network and bionic interfaces Zhang, Jixiang Wang, Ting Zhang, Yixin Lu, Pengyu Shi, Neng Zhu, Weiran Cai, Chenglong He, Nongyue Front Bioeng Biotechnol Bioengineering and Biotechnology Both glial cells and neurons can be considered basic computational units in neural networks, and the brain–computer interface (BCI) can play a role in awakening the latency portion and being sensitive to positive feedback through learning. However, high-quality information gained from BCI requires invasive approaches such as microelectrodes implanted under the endocranium. As a hard foreign object in the aqueous microenvironment, the soft cerebral cortex’s chronic inflammation state and scar tissue appear subsequently. To avoid the obvious defects caused by hard electrodes, this review focuses on the bioinspired neural interface, guiding and optimizing the implant system for better biocompatibility and accuracy. At the same time, the bionic techniques of signal reception and transmission interfaces are summarized and the structural units with functions similar to nerve cells are introduced. Multiple electrical and electromagnetic transmissions, regulating the secretion of neuromodulators or neurotransmitters via nanofluidic channels, have been flexibly applied. The accurate regulation of neural networks from the nanoscale to the cellular reconstruction of protein pathways will make BCI the extension of the brain. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558115/ /pubmed/36246365 http://dx.doi.org/10.3389/fbioe.2022.950235 Text en Copyright © 2022 Zhang, Wang, Zhang, Lu, Shi, Zhu, Cai and He. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Zhang, Jixiang
Wang, Ting
Zhang, Yixin
Lu, Pengyu
Shi, Neng
Zhu, Weiran
Cai, Chenglong
He, Nongyue
Soft integration of a neural cells network and bionic interfaces
title Soft integration of a neural cells network and bionic interfaces
title_full Soft integration of a neural cells network and bionic interfaces
title_fullStr Soft integration of a neural cells network and bionic interfaces
title_full_unstemmed Soft integration of a neural cells network and bionic interfaces
title_short Soft integration of a neural cells network and bionic interfaces
title_sort soft integration of a neural cells network and bionic interfaces
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558115/
https://www.ncbi.nlm.nih.gov/pubmed/36246365
http://dx.doi.org/10.3389/fbioe.2022.950235
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