معرفی
Natalia Shevtsova is a Research Assistant Professor in the Department of Neurobiology & Anatomy at Drexel University College of Medicine. Her work focuses on computational and mathematical modeling of neural networks, particularly in respiratory rhythmogenesis, locomotor control, and visual perception. She holds a PhD in Computer Science (1996) and an MS in Mathematics (1973) from Rostov State University.
Key affiliations include the A. B. Kogan Research Institute for Neurocybernetics and collaborations at the University of Maryland and Middlesex University. She is a key investigator in NIH-funded projects on spinal locomotor control and respiratory rhythm generation.
Research interests span: computational neuroscience, motor control mechanisms, neural networks underlying respiration and locomotion, and visual cortex dynamics. Her work integrates experimental and theoretical approaches to understand neural circuit organization and dysfunction in disease.
Shevtsova leads projects on spinal cord injury recovery and has contributed to models of interlimb coordination, sensorimotor integration, and neural oscillations.
