Relevant bibliographies by topics / Brain-computer

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Brain-computer'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Brain-computer"

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Vadza, Kejal Chintan. "Brain Gate & Brain Computer Interface." International Journal of Scientific Research 2, no. 5 (2012): 45–49. http://dx.doi.org/10.15373/22778179/may2013/19.

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BABUŠIAK, Branko, and Martin KNOCIK. "BIO-AMPLIFIER FOR BRAIN COMPUTER INTERFACE." Acta Electrotechnica et Informatica 14, no. 3 (2014): 11–15. http://dx.doi.org/10.15546/aeei-2014-0022.

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Yoon, Joongsun. "A Brain-Computer Interface Based Human-Robot Interaction Platform." Journal of the Korea Academia-Industrial cooperation Society 16, no. 11 (2015): 7508–12. http://dx.doi.org/10.5762/kais.2015.16.11.7508.

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ELLENBOGEN, RICHARD G., and TIMOTHY H. LUCAS. "Brain Computer Interface." Neurosurgery 58, no. 6 (2006): N6. http://dx.doi.org/10.1227/01.neu.0000310229.79613.24.

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Dingra Ruchika Khaitan, Spardha Taneja Jyotika. "Brain Computer Interface." IOSR Journal of Computer Engineering 16, no. 2 (2014): 41–47. http://dx.doi.org/10.9790/0661-162124147.

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Arbel, Yael. "Brain-Computer Interface." ASHA Leader 12, no. 12 (2007): 14–15. http://dx.doi.org/10.1044/leader.ftr5.12122007.14.

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ELLENBOGEN, RICHARD G., and TIMOTHY H. LUCAS. "Brain Computer Interface." Neurosurgery 58, no. 6 (2006): N6. http://dx.doi.org/10.1227/00006123-200606000-00031.

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Schalk, Gerwin. "Brain–computer symbiosis." Journal of Neural Engineering 5, no. 1 (2008): P1—P15. http://dx.doi.org/10.1088/1741-2560/5/1/p01.

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Vanshi, Sharma. "Brain Computer Interface." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 464–73. https://doi.org/10.35940/ijeat.F1609.089620.

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Computer Technology is advancing day by day and with that it has led to the idea of Brain Computer interaction. Modern computers are advancing parallelly to our understanding of the human brain. This paper basically deals with the technology of BCI (Brain Computer Interface) that can capture brain signals and translate these signals into commands that will allow humans to control devices just by thinking. These devices can be robots, computers or virtual reality environment. The basis of BCI is a pathway connecting the brain and an external device. The aim is to assist, augment or repair human
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van Balen, Bouke, Janna van Grunsven, Mariska Vansteensel, and Wijnand IJsselsteijn. "Brain Computer Interfaces." Wijsgerig Perspectief 63, no. 1 (2023): 16–23. https://doi.org/10.5117/wp2023.1.003.bale.

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Dissertations / Theses on the topic "Brain-computer"

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Sylenko, E. V. "Brain-computer." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/45871.

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The development of different variants of the interface ―brain-computer‖ (BCI) in recent years ceased to be an experimental direction and finds its practical application. What were the expectations like, what works now and what to expect from this technology in the future?
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Sirobaba, N. S., and D. O. Marchenko. "Brain-computer interface." Thesis, Вид-во СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/22533.

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A brain–computer interface (BCI), sometimes called a direct neural interface or a brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often aimed at assisting, augmenting or repairing human cognitive or sensory-motor functions. The field of BCI has advanced mostly toward neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector ch
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Shliahetskiy, A. A. "Brain - computer interface." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46934.

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Brain -computer interface - the interface that implements the connection between the human brain and the computer. The main idea is that when you think about action and do it, the same part of the brain is activated.In the middle of the XIX century, Emil Du Bois- Reymond showed the relationship between electric current and nerve impulses; in 1875. Richard ketone managed to register the electrical activity of the brain of animals. The psychiatrist Hans Berger in 1924 invented a method to record the electrical activity of the human brain. In 1967, psychiatrist Edmond Dewan published a pa
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Almeida, Luís Filipe Martinho de. "Brain computer interface." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21618.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>A investigação e desenvolvimento de sistemas BCI, Brain Computer Interface tem crescido de ano para ano, com resultados cada vez melhores. Uma das principais vertentes para a qual estes sistemas têm sido usados é na área da neuroprostética. Desta forma tem-se demonstrado em vários estudos e investiga ções a possibilidade de controlar membros completos ou parciais robóticos por nós seres humanos, dando assim uma liberdade e conquista de movimentos perdidos a pessoas incapacitadas. No entanto uma grande parte dos melhores resultado
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Sebastián, Romagosa Marc. "Brain computer interfaces for brain acquired damage." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670835.

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El terme Interfície Cervell-Ordinador (ICC), va sorgir als anys 70 pel Dr. Jacques J. Vidal, que mitjançant l’ús de l’electroencefalografia (EEG) fou el primer a intentar proporcionar una sortida alternativa als senyals cerebrals per controlar un dispositiu extern. L’objectiu principal d’aquesta fita era ajudar als pacients amb problemes de moviment i comunicació a relacionar-se amb el seu entorn. Des de llavors, molts neurocientífics han emprat aquesta idea i han intentat posar-la en pràctica utilitzant diferents mètodes d’adquisició i processament del senyal, nous dispositius d’interacció
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Kaper, Matthias. "P300 based brain computer interfacing." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979538203.

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Zioga, Polina. "Live brain-computer cinema performance." Thesis, Glasgow School of Art, 2017. http://radar.gsa.ac.uk/5304/.

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Artists have been interested in the human brain’s anatomy and physiology since at least the Renaissance, while in the twentieth century, the technological revolution enabled them to include in their practices methods adopted from the sciences and engineering, like Brain-Computer Interfaces (BCIs). The use of BCIs originates in the 1960s, with musicians, performers and artists being amongst the pioneers in the design of BCI applications. In recent years, after a period of little progress in the field, the introduction of new commercial-grade Electroencephalography (EEG)-based BCIs has led to a
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Sjölie, Daniel. "Reality-based brain-computer interaction." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44904.

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Recent developments within human-computer interaction (HCI) and cognitive neuroscience have come together to motivate and enable a framework for HCI with a solid basis in brain function and human reality. Human cognition is increasingly considered to be critically related to the development of human capabilities in the everyday environment (reality). At the same time, increasingly powerful computers continuously make the development of complex applications with realistic interaction easier. Advances in cognitive neuroscience and brain-computer interfaces (BCIs) make it possible to use an under
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Halder, Sebastian [Verfasser]. "Prediction of Brain-Computer Interface Performance: For P300 and Motor Imagery Brain-Computer Interfaces / Sebastian Halder." München : Verlag Dr. Hut, 2011. http://d-nb.info/1015607330/34.

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Daly, Ian. "Phase synchronisation in brain computer interfacing." Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553633.

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Brain Computer Interfaces (BCls) are an emerging area of research combining the Neuroscience, Computer Science, Engineering, Mathematics, Human Computer Interaction and Psychology research fields. A BCI enables an individual to exert control of a computer without activation of the efferent nervous system or the muscles. This allows individuals suffering with partial or complete paralysis and associated conditions which prevent muscle movement to control a computer and hence communicate and exert control over their environment. This thesis first investigates tools for automatically removing art
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Books on the topic "Brain-computer"

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Marquez-Chin, Cesar, Naaz Kapadia-Desai, and Sukhvinder Kalsi-Ryan. Brain–Computer Interfaces. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01608-0.

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Hassanien, Aboul Ella, and Ahmad Taher Azar, eds. Brain-Computer Interfaces. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10978-7.

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Graimann, Bernhard, Gert Pfurtscheller, and Brendan Allison, eds. Brain-Computer Interfaces. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02091-9.

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Tan, Desney S., and Anton Nijholt, eds. Brain-Computer Interfaces. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-272-8.

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Berger, Theodore W., John K. Chapin, Greg A. Gerhardt, et al. Brain-Computer Interfaces. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8705-9.

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Nam, Chang S., Anton Nijholt, and Fabien Lotte, eds. Brain–Computer Interfaces Handbook. CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954.

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Guger, Christoph, Brendan Z. Allison, and Michael Tangermann, eds. Brain-Computer Interface Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60460-8.

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Guger, Christoph, Brendan Z. Allison, and Aysegul Gunduz, eds. Brain-Computer Interface Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79287-9.

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Guger, Christoph, Brendan Allison, and Mikhail Lebedev, eds. Brain-Computer Interface Research. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64373-1.

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Guger, Christoph, Natalie Mrachacz-Kersting, and Brendan Z. Allison, eds. Brain-Computer Interface Research. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05668-1.

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Book chapters on the topic "Brain-computer"

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Brandman, David M., and Leigh R. Hochberg. "Brain Computer Interfaces." In Neurobionics: The Biomedical Engineering of Neural Prostheses. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118816028.ch9.

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Sanei, Saeid, and J. A. Chambers. "Brain-Computer Interfacing." In EEG Signal Processing. John Wiley & Sons Ltd,, 2013. http://dx.doi.org/10.1002/9780470511923.ch7.

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Schalk, Gerwin, and Jürgen Mellinger. "Brain–Computer Interfaces." In A Practical Guide to Brain–Computer Interfacing with BCI2000. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-092-2_1.

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Brunner, Peter, and Gerwin Schalk. "Brain-Computer Interaction." In Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02812-0_81.

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Arbib, Michael A. "Computer and Brain." In States of Brain and Mind. Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6771-8_10.

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Curio, Gabriel. "Brain-Computer Interfaces." In Bildverarbeitung für die Medizin 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28502-8_2.

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Millán, José del R. "Brain-Computer Interfaces." In Introduction to Neural Engineering for Motor Rehabilitation. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118628522.ch12.

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Gunkel, David J. "Brain–Computer Interface." In Reimagining Communication: Mediation. Routledge, 2020. http://dx.doi.org/10.4324/9781351015431-19.

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Zhijun, Zhang. "Brain-Computer Interface." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_710-1.

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Sibilano, Elena, Vladimiro Suglia, Antonio Brunetti, et al. "Brain–Computer Interfaces." In Neuromethods. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3545-2_10.

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Conference papers on the topic "Brain-computer"

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Ge, Haorui, Luzheng Bi, Aberham Genetu Feleke, and Weijie Fei. "Brain-Controlled Robot Based on Augmented-Reality Brain-Computer Interface." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839613.

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Alexandru, Mitocaru, Buzamat Alexandru, Poboroniuc Marian-Silviu, Irimia Danut Constantin, and Baciu Alina Georgiana. "Brain Computer Interface Controlled Humanoid Robot." In 2024 E-Health and Bioengineering Conference (EHB). IEEE, 2024. https://doi.org/10.1109/ehb64556.2024.10805718.

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Rakesh, S., Adarsh Shetkar, Piratla Gayatri, and Pranav Reddy. "A Review on Brain-Computer Interface." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007402.

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Yang, Jingcheng, Frank Kulwa, Xuanwei Liu, et al. "CEBRA Method: Decoding Brain Activity for Advanced Brain-Computer Interface Technology." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782428.

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Luo, Weihao, Shiyi Xiong, Yan Li, and Pan Jiang. "Research on brain signal acquisition and transmission via noninvasive brain-computer interface." In Third International Conference on Algorithms, Network and Communication Technology (ICANCT 2024), edited by Fabrizio Marozzo. SPIE, 2025. https://doi.org/10.1117/12.3059885.

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Roula, Mohammed Ali, Sriharsha Ramaraju, and Peter McCarthy. "Brain Stimulation and Brain Computer Interfacing." In Proceedings of the 32nd International BCS Human Computer Interaction Conference. BCS Learning & Development, 2018. http://dx.doi.org/10.14236/ewic/hci2018.231.

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Wolpaw, Jonathan R. "Brain-computer interfaces." In the 2nd ACM SIGHIT symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2110363.2110366.

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Nijholt, Anton, Brendan Z. Allison, and Rob J. K. Jacob. "Brain-computer interaction." In the 13th international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2070481.2070490.

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del R. Millán, José. "Brain-computer interaction." In the 19th annual ACM symposium. ACM Press, 2006. http://dx.doi.org/10.1145/1166253.1166255.

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Nawrocka, Agata, and Andrzej Kot. "Brain - computer interface." In 2012 13th International Carpathian Control Conference (ICCC). IEEE, 2012. http://dx.doi.org/10.1109/carpathiancc.2012.6228699.

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Reports on the topic "Brain-computer"

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Potter, Michael, and Lydia Harriss. Brain-computer interfaces. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/pn614.

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Brain-Computer Interfaces (BCIs) measure brain activity and can be used to control digital devices. The focus of BCI development has been on using the technology to allow patients to control assistive equipment such as wheelchairs or prostheses. Beyond medicine they are under development for applications in entertainment, marketing and defence. This POSTnote looks at the underpinning technology, its applications and the associated ethical and regulatory challenges.
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Gall, W. E. Brain-Based Devices for Neuromorphic Computer Systems. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada587348.

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Kirchstetter, Thomas. Brain-computer interfaces enabled by novel magnetometers. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1755426.

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Schmidt, Nick. Control of Physical Objects Utilizing Brain Computer Interfaces. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-423.

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Moore, Brian E. The Brain Computer Interface Future: Time for a Strategy. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ad1018886.

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Mourino, Josep, Jose del Millan, Febo Cincotti, Silvia Chiappa, and Raimon Jane. Spatial Filtering in the Training Process of a Brain Computer Interface. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada412411.

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Hannas, William, Huey-Meei Chang, Daniel Chou, and Brian Fleeger. China's Advanced AI Research: Monitoring China's Paths to "General" Artificial Intelligence. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210064.

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China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.
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Guo, Xiaozhen, and Pan Li. The effect of brain-computer interface on lower limb function in stroke patients:a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.6.0070.

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Jyothi, Yadav. Neural implants: A meta analysis on the efficacy and the possibilities of brain-computer interfaces. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-1048.

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Abdulmawjood, Mohammed, and Kiemute Oyibo. Enhancing Accessibility in Education Through Brain-Computer Interfaces: A Scoping Review on Inclusive Learning Approaches. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.7.0019.

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