Rate My Professor Michael Arbib

Arbib's primary research focuses on the coordination of perception and action, employing schema theory for analyses of brain function, human cognition, machine vision, and robotics, alongside neural network models informed by neuroscientific data from humans and monkeys. He advanced the Mirror System Hypothesis, linking language evolution and parity to mirror neurons for grasping, which accounts for the brain's aptitude for sign languages alongside speech. Recent endeavors include neuromorphic architecture—brains for buildings—and the ABLE Project integrating action, brain, language, and evolution. Author or editor of nearly 40 books, notable works include Brains, Machines and Mathematics (McGraw-Hill, 1964), Who Needs Emotions? The Brain Meets the Robot (with Jean-Marc Fellous, Oxford University Press, 2005), and From Action to Language via the Mirror System (Cambridge University Press, 2006). Highly cited publications feature Language within our Grasp (1998), Topics in Mathematical System Theory (1969), and Grasping Objects: The Cortical Mechanisms of Visuomotor Transformation (1995). His accolades encompass the IEEE Neural Networks Council Pioneer Award (1995), International Neural Network Society Helmholtz Prize (2009), American Association for the Advancement of Science Fellow (2008), Gifford Lecturer (1983), and Rouse Ball Lecturer (2001). Arbib's interdisciplinary scholarship has profoundly impacted computational neuroscience, cognitive science, artificial intelligence, and related fields.