Computation & Neural Systems California Institute of Technology

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Athanassios SiapasAthanassios G. Siapas, Professor of Computation and Neural Systems, has been named by the Department of Defense (DoD) as a 2017 Vannevar Bush Faculty Fellow. “The fellowship program provides research awards to top-tier researchers from U.S. universities to conduct revolutionary “high risk, high pay-off” research of strategic importance to the Department of Defense,” said Mary J. Miller, acting assistant secretary of defense for research and engineering. Professor Siapas has been named a fellow in the area of cognitive neuroscience. His research focuses on the study of information processing across networks of neurons, with emphasis on the neuronal mechanisms that underlie learning and memory formation. [DoD release]

Charles WangComputation & Neural Systems student Charles Wang, mentored by Professor Athanassios G. Siapas, is a recipient of the 2016 Henry Ford II Scholar Award. He enjoys Caltech’s academic rigor as well as the undergraduate research programs. He is matriculating as a Caltech-UCSD Medical Scholar, expecting to attend UCSD Medical School after completing his four years at Caltech. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study. 06.01.16

Paul Rothemund, Research Professor of Bioengineering, Computing and Mathematical Sciences, and Computation and Neural Systems, explains how his group and groups around the world are using DNA origami in applications ranging from potential cancer treatments to devices for computing. [Caltech interview] 05.18.16

When you open the refrigerator for a late-night snack, are you more likely to grab a slice of chocolate cake or a bag of carrot sticks? Your ability to exercise self-control—i.e., to settle for the carrots—may depend upon just how quickly your brain factors healthfulness into a decision, according to a recent study by Caltech neuroeconomists. [Caltech Release]

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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.

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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, the Division of Engineering and Applied Science, and the Division of Physics, Mathematics and Astronomy.



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