Computation & Neural Systems California Institute of Technology

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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.

Faculty Positions Available Positions are available through Engineering & Applied Science, Biology, and Information Science & Technology. For details, see our Positions page.

Seminar Information
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A complete list of speakers including additional information such as talk titles and abstracts can be found on the CNS Wiki Page.

A good choice involves rapidly combining both value and visual information. Here, the fly chooses the food reward offered by the salient flower, but pays a devastating price falling prey to the camouflaged crab spider

The Computation and Neural Systems degree program is organized jointly by the Division of Biology and Biological Engineering, and the Division of Physics, Mathematics and Astronomy.



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