MECHANISMS OF INTEGRATING NEUROTECHNOLOGIES AND STATISTICAL ANALYSIS
Ключевые слова:
neurotechnology, statistical analysis, computational neuroscience, brain-computer interface, neural data processingАннотация
The integration of neurotechnologies and statistical analysis is a fast-growing discipline that improves the accuracy and interpretability of neural data. Here, we discuss the interaction between neural engineering, computational neuroscience, and statistical methodology, focusing on their implementation in brain-computer interfaces, cognitive modeling, and neuroprosthetics. Through the consideration of current methods and limitations, we describe major strategies for advancing data-driven neurotechnological advancements. The results emphasize the need for interdisciplinary cooperation to improve the reliability and effectiveness of neurotechnology
Библиографические ссылки
Resolution of the President of the Republic of Uzbekistan No. PP-358 dated 14.10.2024 "On approval of the Strategy for the development of artificial intelligence technologies until 2030".
Decree of the President of the Republic of Uzbekistan - No. UP-157 dated 14.10.2024 "On additional measures to support enterprises engaged in export activities in the field of digitalization".
Абдурахманов, К. Х. (2023). Искусственный интеллект — основа устойчивого развития экономики. Москва: ФГБОУ ВО «РЭУ им. Г. В. Плеханова».
Абдуллаев, М. К., & Бегалов, Д. Б. (2023). Цифровая экономика. Ташкент: Издательство ТГЭУ.
Bressler, S. L., & Menon, V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends in Cognitive Sciences, 14(6), 277-290.
Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., ... & Massimini, M. (2013). A theoretically based index of consciousness independent of sensory processing and behavior. Science Translational Medicine, 5(198), 198ra105.
Oizumi, M., Albantakis, L., & Tononi, G. (2014). From the phenomenology to the mechanisms of consciousness: Integrated Information Theory 3.0. PLOS Computational Biology, 10(5), e1003588.
Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016). Integrated information theory: From consciousness to its physical substrate. Nature Reviews Neuroscience, 17(7), 450-461.
Yeo, B. T. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., ... & Buckner, R. L. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3), 1125-1165.