Atiyeh Nezhadebrahim

I have an academic background in Mechanical Engineering and Animal Biology, and my research focuses on the intersection of neuroscience and engineering. I am particularly interested in understanding how the brain, spinal cord, and musculoskeletal system interact through sensory feedback to produce coordinated movement. In my recent work, I developed spiking neural network models of rhythmic movement to simulate the symptoms of Parkinson’s disease. My long-term goal is to implement such models on robotic platforms to create biologically plausible robots that can walk, run, and adapt with the efficiency and agility of humans. As a curious and lifelong learner, I am passionate about drawing inspiration from biological systems to advance intelligent and adaptive robotic control.