Papers

3

Total Citations

297

H-Index

3

About

Vladimir Maksimenko is a leading researcher at the intersection of computational neuroscience, neurotechnology, and artificial intelligence. His work focuses on understanding the neural underpinnings of human cognition and behavior, with a particular emphasis on brain–computer interfaces (BCIs) and oscillatory brain dynamics. Dr. Maksimenko’s major contributions include the development of physical principles for BCIs used in rehabilitation, robotics, and the control of human brain states—a landmark paper that has garnered over 200 citations. He is also known for pioneering the use of artificial neural networks to detect human uncertainty from neural data, a breakthrough with implications for adaptive human–machine interaction. His recent investigations into oscillatory responses to tactile stimuli of varying intensity have advanced our understanding of sensory processing. With a growing body of highly cited work, Dr. Maksimenko is recognized for bridging theoretical physics, machine learning, and neuroscience, offering novel tools for decoding brain activity and enhancing neurorehabilitation technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
297
Total Citations
99
Avg Citations/Paper
🏆 Most Cited Paper
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
208 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Innopolis University, Saratov State University, Immanuel Kant Baltic Federal University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago