Victor Kazantsev

About

Victor Kazantsev is a prominent computational neuroscientist and biomedical engineer whose work bridges the gap between biological neural systems and cutting-edge robotics technology. His research spans neuromorphic computing, brain-computer interfaces, spiking neural networks, and bioinspired robotics — fields at the dynamic frontier of neuroscience and artificial intelligence. Kazantsev's most influential contribution, "Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics" (183 citations), envisions a transformative fusion of living neural networks with memristive hardware, laying groundwork for next-generation neuroprosthetics. His pioneering investigations into spiking neural networks (SNNs) demonstrate how biologically realistic computation can power autonomous mobile robots and generate spatial memory, with key papers accumulating over 130 combined citations. His work on exoskeleton control via motor-imagery brain-computer interfaces (45 citations) has direct clinical implications for rehabilitation medicine. Beyond neural computation, Kazantsev has made notable contributions to bioinspired underwater robotics, exploring swimming central pattern generators and thunniform robotic fish propulsion systems. His research in closed-loop neuronal culture systems and EMG-based prosthetic control further underscores his commitment to translating neuroscience into practical assistive technologies. Collectively, his diverse yet interconnected body of work positions him as a leading architect of tomorrow's intelligent, brain-inspired machines.

Research Focus

Key Achievements

Top Papers

1. 1
   Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics

   183 citations · 2020
2. 2
   Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot

   105 citations · 2020
3. 3
   Exoskeleton Control System Based on Motor-Imaginary Brain–Computer Interface

   45 citations · 2017
4. 4
   A Spiking Neural Network in sEMG Feature Extraction

   37 citations · 2015
5. 5
   Spatial Memory in a Spiking Neural Network with Robot Embodiment

   28 citations · 2021
6. 6
   Bioinspired Propulsion System for a Thunniform Robotic Fish

   27 citations · 2022
7. 7
   Toward biomorphic robotics: A review on swimming central pattern generators

   20 citations · 2022
8. 8
   Control of movement of underwater swimmers: Animals, simulated animates and swimming robots

   20 citations · 2023
9. 9
   Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications

   15 citations · 2019
10. 10
    Combined Use of Command-Proportional Control of External Robotic Devices Based on Electromyography Signals

    14 citations · 2015

Key Collaborators

Contact & Links