Papers
12
Total Citations
384
H-Index
8
About
Alexander E. Hramov is a pioneering researcher at the intersection of neuroscience, artificial intelligence, and biomorphic robotics. His work centers on understanding brain dynamics and translating those principles into advanced technologies, particularly brain–computer interfaces (BCIs) and neural control systems. Hramov’s most influential contribution is his comprehensive 2021 review on the physical principles of BCIs and their applications in rehabilitation and robotics, which has amassed over 208 citations. He has also made significant strides in using artificial neural networks to detect human uncertainty from brain activity, a breakthrough with implications for human–machine interaction. His research extends to biomimetic control systems, including central pattern generators for swimming robots, drawing inspiration from animal locomotion. Hramov has explored tactile perception and its neural correlates, as well as the use of AI for mental health treatment. He is also the visionary behind the “Neuropunk Revolution” concept, which advocates for merging neuromorphic technologies with human cognition to create next-generation cyborg systems. With a citation count exceeding 380 and a growing portfolio of high-impact studies, Hramov is shaping the future of neurotechnology and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Artificial neural network detects human uncertainty78 citations · 2018
- 3
- 4Toward biomorphic robotics: A review on swimming central pattern generators20 citations · 2022
- 5
- 6Oscillatory Responses to Tactile Stimuli of Different Intensity11 citations · 2023
- 7
- 8
- 9Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.03 citations · 2022
- 10