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个人简介
Sajda is interested in what happens in our brains when we make a rapid decision and, conversely, what processes and representations in our brains drive our underlying preferences and choices, particularly when we are under time pressure. His work in understanding the basic principles of rapid decision-making in the human brain relies on measuring human subject behavior simultaneously with cognitive and physiological state. Important in his approach is his use of machine learning and data analytics to fuse these measurements for predicting behavior and infer brain responses to stimuli. Sajda applies the basic principles he uncovers to construct real-time brain-computer interfaces that are aimed at improving interactions between humans and machines. He is also applying his methodology to understand how deficits in rapid decision-making may underlie and be diagnostic of many types of psychiatric diseases and mental illnesses.
研究兴趣
论文共 351 篇作者统计合作学者相似作者
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Ziheng 'Leo' Li, Haowen 'John' Wei, Ziwen Xie, Yunxiang Peng, June Pyo Suh, Steven Feiner,Paul Sajda
J. Open Source Softw.no. 94 (2024)
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Lecture Notes in Computer Sciencepp.308-317, (2023)
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Sharath Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar,Xiaoxiao Sun,Arunesh Mittal,Patrick Adelman,Paul Sajda
CoRR (2023)
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Brain Stimulationno. 1 (2023): 193-193
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2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023): 1-4
2023 11TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION WORKSHOPS AND DEMOS, ACIIWpp.1-8, (2023)
Scientific Reportsno. 1 (2023): 1-14
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