Vladimir Khorev
Papers
2
Total Citations
17
H-Index
2
About
Vladimir Khorev is a researcher at the intersection of artificial intelligence, neuroscience, and mental health. His work focuses on leveraging AI-based methods for mental condition treatment and rehabilitation, as well as exploring the neural underpinnings of sensory perception. His most-cited paper, "Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation" (2024, 9 citations), provides a comprehensive synthesis of how machine learning and computational tools are transforming mental healthcare, from diagnostics to personalized therapy. In parallel, his study "Characteristics of brain functional networks specific for different types of tactile perception" (2023, 8 citations) delves into the brain's functional connectivity patterns during tactile experiences, offering insights into how neural networks encode sensory information. Together, these works bridge computational modeling with clinical and cognitive neuroscience, highlighting Khorev’s ability to translate complex neural data into practical applications. His research holds promise for developing AI-driven interventions that adapt to individual brain states, making him a notable emerging voice in the fields of neurotechnology and digital psychiatry.
Research Focus
Key Achievements
Top Papers
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