An Overview of In Vitro Biological Neural Networks for Robot Intelligence
In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, etc. This work aims to provide a comprehe...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
|
| Series: | Cyborg and Bionic Systems |
| Online Access: | https://spj.science.org/doi/10.34133/cbsystems.0001 |
| _version_ | 1797810689239154688 |
|---|---|
| author | Zhe Chen Qian Liang Zihou Wei Xie Chen Qing Shi Zhiqiang Yu Tao Sun |
| author_facet | Zhe Chen Qian Liang Zihou Wei Xie Chen Qing Shi Zhiqiang Yu Tao Sun |
| author_sort | Zhe Chen |
| collection | DOAJ |
| description | In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, etc. This work aims to provide a comprehensive overview of the intelligent behaviors presented by the BNN-based neurorobotic systems, with a particular focus on those related to robot intelligence. In this work, we first introduce the necessary biological background to understand the 2 characteristics of the BNNs: nonlinear computing capacity and network plasticity. Then, we describe the typical architecture of the BNN-based neurorobotic systems and outline the mainstream techniques to realize such an architecture from 2 aspects: from robots to BNNs and from BNNs to robots. Next, we separate the intelligent behaviors into 2 parts according to whether they rely solely on the computing capacity (computing capacity-dependent) or depend also on the network plasticity (network plasticity-dependent), which are then expounded respectively, with a focus on those related to the realization of robot intelligence. Finally, the development trends and challenges of the BNN-based neurorobotic systems are discussed. |
| first_indexed | 2024-03-13T07:12:37Z |
| format | Article |
| id | doaj.art-1d8ef06f2fdd4c0c99d32e92827cb8b4 |
| institution | Directory Open Access Journal |
| issn | 2692-7632 |
| language | English |
| last_indexed | 2024-03-13T07:12:37Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Cyborg and Bionic Systems |
| spelling | doaj.art-1d8ef06f2fdd4c0c99d32e92827cb8b42023-06-05T19:18:29ZengAmerican Association for the Advancement of Science (AAAS)Cyborg and Bionic Systems2692-76322023-01-01410.34133/cbsystems.0001An Overview of In Vitro Biological Neural Networks for Robot IntelligenceZhe Chen0Qian Liang1Zihou Wei2Xie Chen3Qing Shi4Zhiqiang Yu5Tao Sun6School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 10081, China.Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 10081, China.Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 10081, China.School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 10081, China.Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 10081, China.In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, etc. This work aims to provide a comprehensive overview of the intelligent behaviors presented by the BNN-based neurorobotic systems, with a particular focus on those related to robot intelligence. In this work, we first introduce the necessary biological background to understand the 2 characteristics of the BNNs: nonlinear computing capacity and network plasticity. Then, we describe the typical architecture of the BNN-based neurorobotic systems and outline the mainstream techniques to realize such an architecture from 2 aspects: from robots to BNNs and from BNNs to robots. Next, we separate the intelligent behaviors into 2 parts according to whether they rely solely on the computing capacity (computing capacity-dependent) or depend also on the network plasticity (network plasticity-dependent), which are then expounded respectively, with a focus on those related to the realization of robot intelligence. Finally, the development trends and challenges of the BNN-based neurorobotic systems are discussed.https://spj.science.org/doi/10.34133/cbsystems.0001 |
| spellingShingle | Zhe Chen Qian Liang Zihou Wei Xie Chen Qing Shi Zhiqiang Yu Tao Sun An Overview of In Vitro Biological Neural Networks for Robot Intelligence Cyborg and Bionic Systems |
| title | An Overview of In Vitro Biological Neural Networks for Robot Intelligence |
| title_full | An Overview of In Vitro Biological Neural Networks for Robot Intelligence |
| title_fullStr | An Overview of In Vitro Biological Neural Networks for Robot Intelligence |
| title_full_unstemmed | An Overview of In Vitro Biological Neural Networks for Robot Intelligence |
| title_short | An Overview of In Vitro Biological Neural Networks for Robot Intelligence |
| title_sort | overview of in vitro biological neural networks for robot intelligence |
| url | https://spj.science.org/doi/10.34133/cbsystems.0001 |
| work_keys_str_mv | AT zhechen anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT qianliang anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT zihouwei anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT xiechen anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT qingshi anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT zhiqiangyu anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT taosun anoverviewofinvitrobiologicalneuralnetworksforrobotintelligence AT zhechen overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT qianliang overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT zihouwei overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT xiechen overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT qingshi overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT zhiqiangyu overviewofinvitrobiologicalneuralnetworksforrobotintelligence AT taosun overviewofinvitrobiologicalneuralnetworksforrobotintelligence |