معرفی
Arash Yazdanbakhsh is a Research Assistant Professor and Director of the Computational Neuroscience & Vision Lab in Boston University's Department of Psychological & Brain Sciences. He earned an M.D. from Tehran Medical University, a Ph.D. from Boston University, and completed postdoctoral research in Neurobiology at Harvard Medical School.
Research focuses on human vision modeling, electrophysiology, and psychophysics, with specific projects examining cortical mechanisms of figure-ground segregation, motion integration via multiscale sampling, and spatio-temporal dynamics of neural receptive fields. Work bridges computational neuroscience with clinical applications in schizophrenia and autism research.
Recent publications (2020-2024) demonstrate strong emphasis on neural modeling of visual and cognitive processes, with methodological innovations in machine learning applications to neuropathology. Dominant themes include: schizophrenia neural circuitry (33%), autism perception studies (27%), sleep neurophysiology (13%), and fundamental vision mechanisms (27%). Article keywords frequently involve computational psychiatry, thalamocortical circuits, and deep learning approaches.
