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Journal articles on the topic 'Brain-computer'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Friehs, G. M. "Brain-Machine and Brain-Computer Interfaces." Stroke 35, no. 11_suppl_1 (2004): 2702–5. http://dx.doi.org/10.1161/01.str.0000143235.93497.03.

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12

WANG, Xing-Yu, Jing JIN, Yu ZHANG, and Bei WANG. "Brain Control: Human-computer Integration Control Based on Brain-computer Interface." Acta Automatica Sinica 39, no. 3 (2014): 208–21. http://dx.doi.org/10.3724/sp.j.1004.2013.00208.

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13

HAGIWARA, Masafumi. "Toward brain－style computer." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 23, no. 1 (2011): 99–106. http://dx.doi.org/10.3156/jsoft.23.1_99.

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14

Benson, Philippa J. "Decoding brain-computer interfaces." Science 360, no. 6389 (2018): 615.8–616. http://dx.doi.org/10.1126/science.360.6389.615-h.

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15

Kroeker, Kirk L. "Improving brain-computer interfaces." Communications of the ACM 54, no. 10 (2011): 11–14. http://dx.doi.org/10.1145/2001269.2001275.

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16

Molina, Gary Garcia, Tsvetomira Tsoneva, and Anton Nijholt. "Emotional brain-computer interfaces." International Journal of Autonomous and Adaptive Communications Systems 6, no. 1 (2013): 9. http://dx.doi.org/10.1504/ijaacs.2013.050687.

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17

Tang, Feifang, Feiyang Yan, Yushan Zhong, Jinqian Li, Hui Gong, and Xiangning Li. "Optogenetic Brain–Computer Interfaces." Bioengineering 11, no. 8 (2024): 821. http://dx.doi.org/10.3390/bioengineering11080821.

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The brain–computer interface (BCI) is one of the most powerful tools in neuroscience and generally includes a recording system, a processor system, and a stimulation system. Optogenetics has the advantages of bidirectional regulation, high spatiotemporal resolution, and cell-specific regulation, which expands the application scenarios of BCIs. In recent years, optogenetic BCIs have become widely used in the lab with the development of materials and software. The systems were designed to be more integrated, lightweight, biocompatible, and power efficient, as were the wireless transmission and c

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18

Jellinger, K. A. "Toward Brain-Computer Interfacing." European Journal of Neurology 16, no. 3 (2009): e52-e52. http://dx.doi.org/10.1111/j.1468-1331.2008.02463.x.

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19

Maye, Alexander, Dan Zhang, Yijun Wang, Shangkai Gao, and Andreas K. Engel. "Multimodal brain-computer interfaces." Tsinghua Science and Technology 16, no. 2 (2011): 133–39. http://dx.doi.org/10.1016/s1007-0214(11)70020-7.

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20

Langmoen, Iver A., and Jon Berg-Johnsen. "The Brain-Computer Interface." World Neurosurgery 78, no. 6 (2012): 573–75. http://dx.doi.org/10.1016/j.wneu.2011.10.021.

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21

Berger, Theodore W. "Brain–Computer Interfaces (BCIs)." Journal of Neuroscience Methods 167, no. 1 (2008): 1. http://dx.doi.org/10.1016/j.jneumeth.2007.10.002.

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22

Sitaram, R., N. Weiskopf, A. Caria, R. Veit, M. Erb, and N. Birbaumer. "fMRI Brain-Computer Interfaces." IEEE Signal Processing Magazine 25, no. 1 (2008): 95–106. http://dx.doi.org/10.1109/msp.2008.4408446.

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23

Büyükgöze, Selma. "THE BRAIN-COMPUTER INTERFACE." International Conference on Technics, Technologies and Education, ICTTE 2019 (2019): 133–38. http://dx.doi.org/10.15547/ictte.2019.02.094.

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The Brain-Computer Interface (BCI), defined as systems that allow people to use a computer, an electromechanical arm or various neuroprostheses without the use of motor nervous systems, is a communication pathway used to establish direct communication between the brain and a peripheral interface. The brain-computer interface is often used to help or repair human cognitive or sensory motor functions. However, with today's developing technology, it hasn’t only been used for this purpose and has started to be used in many different areas from advertising, to smart peripheral systems, to games, ev

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24

WANG, Xing-Yu, Jing JIN, Yu ZHANG, and Bei WANG. "Brain Control: Human-computer Integration Control Based on Brain-computer Interface Approach." Acta Automatica Sinica 39, no. 3 (2013): 208–21. http://dx.doi.org/10.1016/s1874-1029(13)60023-3.

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25

Raj, Abhishek, Alankrita, Akansha Srivastava, and Vikrant Bhateja. "Computer Aided Detection of Brain Tumor in Magnetic Resonance Images." International Journal of Engineering and Technology 3, no. 5 (2011): 523–32. http://dx.doi.org/10.7763/ijet.2011.v3.280.

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26

Wolpaw, Jonathan R. "Brain-computer interfaces as new brain output pathways." Journal of Physiology 579, no. 3 (2007): 613–19. http://dx.doi.org/10.1113/jphysiol.2006.125948.

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27

Friedman, Doron. "“Brain art: Brain-computer interfaces for artistic expression”." Brain-Computer Interfaces 7, no. 1-2 (2020): 36–37. http://dx.doi.org/10.1080/2326263x.2020.1756573.

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28

Parveen, Muskan, and Garima Sharma. "Enhancing Human-Computer Interaction through Brain-Computer Interfaces." Radius: Journal of Science and Technology 2, no. 1 (2025): 251010. https://doi.org/10.5281/zenodo.15399647.

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HCI is transformed by BCI interactions, breaking previous boundaries for the results to go directly into the device and creating a direct neuron-to-computer communication. The Work is centered on the improvement in HCI made possible by BCIs, notably greater simplicity and ease for those who have physical limitations. It calls into question present BCI systems, develops them into working interactive devices, tackles signal noise and user adaptability, and flagships future concepts such as neural decoding, AI, and ethical considerations. Neuroscience, AI, and user interface engineering together

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29

Yeom, Hong-Gi, and Kwee-Bo Sim. "Performance Improvements of Brain-Computer Interface Systems based on Variance-Considered Machines." Journal of Korean Institute of Intelligent Systems 20, no. 1 (2010): 153–58. http://dx.doi.org/10.5391/jkiis.2010.20.1.153.

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30

Bakay, Roy A. E. "Limits of brain–computer interface." Neurosurgical Focus 20, no. 5 (2006): 1–4. http://dx.doi.org/10.3171/foc.2006.20.5.7.

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✓Most patients who are candidates for brain–computer interface studies have an injury to their central nervous system and therefore may not be ideal for rigorous testing of the full abilities and limits of the interface. This is a report on a quadriplegic patient who appeared to be a reasonable candidate for intracranial implantation of neurotrophic electrodes. He had significant cortical atrophy in both the motor and parietal cortical areas but was able to generate signal changes on functional magnetic resonance images by thinking about hand movements. Only a few low-amplitude action potentia

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31

Xue, Jiachi. "Handwriting with Brain Computer Interface." Journal of Physics: Conference Series 1865, no. 4 (2021): 042026. http://dx.doi.org/10.1088/1742-6596/1865/4/042026.

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32

Sreedharan, Sujesh, Ranganatha Sitaram, Joseph S. Paul, and C. Kesavadas. "Brain-Computer Interfaces for Neurorehabilitation." Critical Reviews in Biomedical Engineering 41, no. 3 (2013): 269–79. http://dx.doi.org/10.1615/critrevbiomedeng.2014010697.

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33

Conder, Robert L. "Computer technology in brain injury." Brain Injury 6, no. 1 (1992): 79–80. http://dx.doi.org/10.3109/02699059209008127.

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34

Palmer, Chris. "Brain–Computer Interface Speaks Up." Engineering 9 (February 2022): 3–5. http://dx.doi.org/10.1016/j.eng.2021.12.004.

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35

Holden, Constance. "Brain Food in Computer Games." Science 253, no. 5017 (1991): 264. http://dx.doi.org/10.1126/science.253.5017.264.a.

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36

Nicolas-Alonso, Luis Fernando, and Jaime Gomez-Gil. "Brain Computer Interfaces, a Review." Sensors 12, no. 2 (2012): 1211–79. http://dx.doi.org/10.3390/s120201211.

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37

Elqady, A. F., A. A. A. Nasser, and M. A. Sharkas. "MARKOV-BASED BRAIN COMPUTER INTERFACE." JES. Journal of Engineering Sciences 40, no. 2 (2012): 557–66. http://dx.doi.org/10.21608/jesaun.2012.113129.

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38

Coyle, Shirley, Tomas Ward, and Charles Markham. "Brain–computer interfaces: a review." Interdisciplinary Science Reviews 28, no. 2 (2003): 112–18. http://dx.doi.org/10.1179/030801803225005102.

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39

Wahlstrom, Kirsten, N. Ben Fairweather, and Helen Ashman. "Privacy and brain-computer interfaces." ACM SIGCAS Computers and Society 46, no. 1 (2016): 41–53. http://dx.doi.org/10.1145/2908216.2908223.

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40

Chapman, A. H., and Marta Alves Reis Soares. "The computer and the brain." Arquivos de Neuro-Psiquiatria 69, no. 2a (2011): 271. http://dx.doi.org/10.1590/s0004-282x2011000200030.

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41

Price, Amy. "Cognitive Rehabilitation Computer Brain Solutions." International Journal of User-Driven Healthcare 2, no. 2 (2012): 77–81. http://dx.doi.org/10.4018/ijudh.2012040111.

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Mild traumatic brain injury (MTBI) survivors claim advantage in retraining their brains with neuroplasticity based cognitive training after trauma. Significant growth in computer based cognitive rehabilitation is spurred on by positive research findings on neuroplasticity and advances in accessible computer technology. Drawbacks include limitations on the part of both patient and therapist in regards to time expenditure, cost of therapy, ease of use/learning curve, and the availability of long-term studies in regards to near and far transfer of training. MTBI patients may have sustained motor,

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42

ELLENBOGEN, RICHARD G. "EEG Driven Brain Computer Interface." Neurosurgery 55, no. 3 (2004): N7. http://dx.doi.org/10.1227/01.neu.0000309671.48828.dd.

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43

Kübler, Andrea, Nicola Neumann, Barbara Wilhelm, Thilo Hinterberger, and Niels Birbaumer. "Predictability of Brain-Computer Communication." Journal of Psychophysiology 18, no. 2/3 (2004): 121–29. http://dx.doi.org/10.1027/0269-8803.18.23.121.

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Abstract Since 1996 we have been teaching more than 18 severely or totally paralyzed patients to successfully control the movements of a cursor on a computer screen by means of systematic changes in the amplitudes of their slow cortical potentials (SCPs; Birbaumer, Ghanayim, Hinterberger, Iversen, Kotchoubey et al., 1999 ). Patients learned regulation of their SCP amplitudes by means of a brain-computer interface (BCI) and on-line feedback about the time course of SCP amplitude shifts, represented by cursor movements on a computer screen. When patients were able to successfully regulate their

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44

Bernal, Sergio López, Alberto Huertas Celdrán, Gregorio Martínez Pérez, Michael Taynnan Barros, and Sasitharan Balasubramaniam. "Security in Brain-Computer Interfaces." ACM Computing Surveys 54, no. 1 (2021): 1–35. http://dx.doi.org/10.1145/3427376.

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45

Zioga, Polina. "Live Brain-Computer Cinema Performance." Leonardo 51, no. 5 (2018): 531. http://dx.doi.org/10.1162/leon_a_01671.

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46

Shih, Jerry J., Dean J. Krusienski, and Jonathan R. Wolpaw. "Brain-Computer Interfaces in Medicine." Mayo Clinic Proceedings 87, no. 3 (2012): 268–79. http://dx.doi.org/10.1016/j.mayocp.2011.12.008.

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47

Georgieva, Petia, Filipe Silva, and Nuno Figueiredo. "IEETA brain computer interface technologies." International Journal of Computational Intelligence Studies 2, no. 3/4 (2013): 314. http://dx.doi.org/10.1504/ijcistudies.2013.057645.

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48

Hochberg, L. R., and J. P. Donoghue. "Sensors for brain-computer interfaces." IEEE Engineering in Medicine and Biology Magazine 25, no. 5 (2006): 32–38. http://dx.doi.org/10.1109/memb.2006.1705745.

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49

Birbaumer, Niels, Ander Ramos Murguialday, and Leonardo Cohen. "Brain–computer interface in paralysis." Current Opinion in Neurology 21, no. 6 (2008): 634–38. http://dx.doi.org/10.1097/wco.0b013e328315ee2d.

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50

Mikolajczyk, Tadeusz, Flaviu Moldovan, Ileana Ciobanu, Agata Chalupczak, and Andreea Georgiana Marin. "Brain Research Using Computer Test." Procedia Technology 22 (2016): 1113–20. http://dx.doi.org/10.1016/j.protcy.2016.01.157.

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