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Mayank Mehta is a prominent researcher at the W. M. Keck Center for Neurophysics at the University of California, Los Angeles. His work primarily focuses on understanding the neural mechanisms underlying learning and memory, with a particular interest in the interplay between brain rhythms and cognitive processes. Mehta's research employs both theoretical and experimental approaches to explore how information about the physical world is represented by ensembles of neurons and how these representations evolve during learning. He has published various studies on the influence of virtual reality on neural dynamics and the biophysical properties of neuronal networks. Through his innovative research, he contributes significantly to the understanding of memory disorders and develops novel methodologies for measuring and manipulating neural activity in relation to behavior. Mehta's findings on the active role of dendrites and the significance of sleep in memory consolidation challenge existing notions of learning processes, paving the way for advancements in neurophysiological research and applications in educational and clinical settings.
W. M. Keck Center for Neurophysics, UCLA • Los Angeles, CA
Leading research projects focused on neurophysics, neural representations, and memory formation.
Department of Economics admits primarily for the PhD program.