Caltech Scientists Decipher the Neurological Basis of Timely Movement Work by Dr. Richard A. Andersen, the James G. Boswell Professor of Neuroscience at Caltech, and his colleagues Grant Mulliken of MIT and Sam Musallam of McGill University, offers the first neural evidence that voluntary limb movements are guided by our brain's prediction of what will happen an instant into the future. Read More... 06-09-2008
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How does the brain compute? Can we endow machines with brain-like computational capability? Faculty and students in the CNS program ask these questions with the goal of understanding the brain and designing systems that show the same degree of autonomy and adaptability as biological systems. Disciplines such as neurobiology, electrical engineering, computer science, physics, statistical machine learning, control and dynamical systems analysis, and psychophysics contribute to this understanding. The unifying theme is the relationship between the physical structure of a computational system (molecular, neuronal, or electronic hardware), the dynamics of its operation, and the computational problems that it can efficiently solve.