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Michael Arbib is an Emeritus Professor with a broad interdisciplinary focus, integrating insights from computer science, neuroscience, and cognitive science to explore the coordination of perception and action. His seminal work, 'Brains, Machines, and Mathematics' (1964), laid the groundwork for understanding how studying brains informs machine learning and vice versa. He has engaged in extensive research on neural networks and machine vision, collaborating closely with experimental neuroscientists. Furthermore, he has been involved in groundbreaking exploration of the evolutionary mechanisms underlying human language, proposing the Mirror System Hypothesis that connects language to the neural mechanisms involved in action observation. Arbib remains active in the field, with recent interests in neuromorphic architecture, linking insights from neuroscience to the design of architectural spaces. He has authored and edited over 40 books, including notable titles such as 'Who Needs Emotions? Brain Meets Robot' and 'From Action to Language via the Mirror System'.
University of Southern California • Los Angeles, CA
Held the position with a focus on interdisciplinary research between computer science and neuroscience.
GRE is NOT required for Master's applicants for 2025-2026.