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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.950235/full |
| _version_ | 1828110156465963008 |
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| author | Jixiang Zhang Ting Wang Ting Wang Yixin Zhang Pengyu Lu Neng Shi Weiran Zhu Chenglong Cai Chenglong Cai Nongyue He |
| author_facet | Jixiang Zhang Ting Wang Ting Wang Yixin Zhang Pengyu Lu Neng Shi Weiran Zhu Chenglong Cai Chenglong Cai Nongyue He |
| author_sort | Jixiang Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T11:15:27Z |
| format | Article |
| id | doaj.art-bbbeedbc6de544289e83071bf907afc2 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-11T11:15:27Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-bbbeedbc6de544289e83071bf907afc22022-12-22T04:27:16ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-09-011010.3389/fbioe.2022.950235950235Soft integration of a neural cells network and bionic interfacesJixiang Zhang0Ting Wang1Ting Wang2Yixin Zhang3Pengyu Lu4Neng Shi5Weiran Zhu6Chenglong Cai7Chenglong Cai8Nongyue He9State Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaSoutheast University Jiangbei New Area Innovation Institute, Nanjing, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaSceneRay Co., Ltd., Suzhou, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaSoutheast University Jiangbei New Area Innovation Institute, Nanjing, ChinaState Key Laboratory of Bioelectronics, National Demonstration Centre for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, ChinaBoth 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.https://www.frontiersin.org/articles/10.3389/fbioe.2022.950235/fullbrain–computer interfaceneural networkglia cellbiointerfacenanoparticleneuromodulation |
| spellingShingle | Jixiang Zhang Ting Wang Ting Wang Yixin Zhang Pengyu Lu Neng Shi Weiran Zhu Chenglong Cai Chenglong Cai Nongyue He Soft integration of a neural cells network and bionic interfaces Frontiers in Bioengineering and Biotechnology brain–computer interface neural network glia cell biointerface nanoparticle neuromodulation |
| 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 | brain–computer interface neural network glia cell biointerface nanoparticle neuromodulation |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.950235/full |
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