In the News
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]
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.
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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