Microelectrode arrays cultured with in vitro neural networks for motion control tasks: encoding and decoding progress and advances

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Veröffentlicht in:	Microsystems & Nanoengineering vol. 11, no. 1 (2025), p. 233-254
1. Verfasser:	Hua, Sihan
Weitere Verfasser:	Liu, Yaoyao, Luo, Jinping, Li, Shangchen, Jiang, Longhui, Wu, Pei, Sun, Shutong, Shang, Li, Lu, Chengji, Zhang, Kui, Liu, Juntao, Wang, Mixia, Shi, Huaizhang, Cai, Xinxia
Veröffentlicht:	Springer Nature B.V.
Schlagworte:	Comparative analysis Artificial intelligence Algorithms Brain research Task complexity Closed loops Changing environments Motion control Microelectrodes Neurosciences Control systems Neuroplasticity Energy consumption Signal processing Control tasks Neural networks Decision making Communications systems Arrays Encoding-Decoding Information processing Real time Actuators
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100	1		\|a Hua, Sihan \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
245	1		\|a Microelectrode arrays cultured with in vitro neural networks for motion control tasks: encoding and decoding progress and advances
260			\|b Springer Nature B.V. \|c 2025
513			\|a Journal Article
520	3		\|a Microelectrode arrays (MEAs) cultured with in vitro neural networks are gaining prominence in bio-integrated system research, owing to their inherent plasticity and emergent learning behaviors. Here, recent advances in motion control tasks utilizing MEAs-based bio-integrated systems are presented, with a focus on encoding-decoding techniques. The bio-integrated system comprises MEAs integrated with neural networks, a bidirectional communication system, and an actuator. Classical decoding algorithms, such as firing-rate mapping and central firing-rate methods, along with cutting-edge artificial intelligence (AI) approaches, have been examined. These AI methods enhance the accuracy and adaptability of real-time, closed-loop motion control. A comparative analysis indicates that simpler, lower-complexity algorithms suit basic rapid-decision tasks, whereas deeper models exhibit greater potential in more complex temporal signal processing and dynamically changing environments. The review also systematically analyzes the prospects and challenges of bio-integrated systems for motion control. Future prospects suggest that MEAs cultured with in vitro neural networks may leverage their flexibility and low energy consumption to address diverse motion control scenarios, driving cross-disciplinary research at the intersection of neuroscience and artificial intelligence.
653			\|a Comparative analysis
653			\|a Artificial intelligence
653			\|a Algorithms
653			\|a Brain research
653			\|a Task complexity
653			\|a Closed loops
653			\|a Changing environments
653			\|a Motion control
653			\|a Microelectrodes
653			\|a Neurosciences
653			\|a Control systems
653			\|a Neuroplasticity
653			\|a Energy consumption
653			\|a Signal processing
653			\|a Control tasks
653			\|a Neural networks
653			\|a Decision making
653			\|a Communications systems
653			\|a Arrays
653			\|a Encoding-Decoding
653			\|a Information processing
653			\|a Real time
653			\|a Actuators
700	1		\|a Liu, Yaoyao \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Luo, Jinping \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Li, Shangchen \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Jiang, Longhui \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Wu, Pei \|u Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University Heilongjiang, 150001, Harbin, China (ROR: https://ror.org/05vy2sc54) (GRID: grid.412596.d) (ISNI: 0000 0004 1797 9737)
700	1		\|a Sun, Shutong \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Shang, Li \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Lu, Chengji \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Zhang, Kui \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Liu, Juntao \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Wang, Mixia \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
700	1		\|a Shi, Huaizhang \|u Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University Heilongjiang, 150001, Harbin, China (ROR: https://ror.org/05vy2sc54) (GRID: grid.412596.d) (ISNI: 0000 0004 1797 9737)
700	1		\|a Cai, Xinxia \|u State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, 100190, Beijing, China (ROR: https://ror.org/034t30j35) (GRID: grid.9227.e) (ISNI: 0000000119573309); University of Chinese Academy of Sciences, 101408, Beijing, China (ROR: https://ror.org/05qbk4x57) (GRID: grid.410726.6) (ISNI: 0000 0004 1797 8419)
773	0		\|t Microsystems & Nanoengineering \|g vol. 11, no. 1 (2025), p. 233-254
786	0		\|d ProQuest \|t Health & Medical Collection
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