Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784807376146137088 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9558115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhangjixiang softintegrationofaneuralcellsnetworkandbionicinterfaces AT wangting softintegrationofaneuralcellsnetworkandbionicinterfaces AT zhangyixin softintegrationofaneuralcellsnetworkandbionicinterfaces AT lupengyu softintegrationofaneuralcellsnetworkandbionicinterfaces AT shineng softintegrationofaneuralcellsnetworkandbionicinterfaces AT zhuweiran softintegrationofaneuralcellsnetworkandbionicinterfaces AT caichenglong softintegrationofaneuralcellsnetworkandbionicinterfaces AT henongyue softintegrationofaneuralcellsnetworkandbionicinterfaces |