Professor Siapas Receives NIH Pioneer Award
Thanos Siapas, Professor of Computation and Neural Systems, has received a National Institutes of Health (NIH) Pioneer Award. He plans to use the award to develop neural probes for large-scale recordings of brain activity. "Brain functions such as perception, learning, and memory arise from the coordinated activation of billions of neurons distributed throughout the brain," Siapas says. "While we know a lot about the properties of individual neurons, much less is known about how assemblies of neurons interact to perform computations. Our goal is to develop large-scale, multielectrode arrays that will enable the monitoring of many neurons simultaneously across different brain areas. We hope that such arrays will expose new fundamental insights into brain activity, and will find application in the study of animal models of brain disorders." [Caltech Press Release]
Largest Biochemical Circuit Built Out of Small Synthetic DNA Molecules
Lulu Qian, Senior Postdoctoral Scholar in Bioengineering, and colleagues including Erik Winfree, Professor of Computer Science, Computation and Neural Systems, and Bioengineering, have built the most complex biochemical circuit ever created from scratch made with DNA-based devices in a test tube that are analogous to the electronic transistors on a computer chip."We're trying to borrow the ideas that have had huge success in the electronic world, such as abstract representations of computing operations, programming languages, and compilers, and apply them to the biomolecular world," says Dr. Qian. [Caltech Press Release]
Stimulating Electrode Array Assists Paraplegic Man to Stand and Move Legs Voluntarily
Joel W. Burdick, Professor of Mechanical Engineering and Bioengineering, and colleagues including Yu-Chong Tai, Professor of Electrical Engineering and Mechanical Engineering, have used a stimulating electrode array to assist a paralyzed man to stand, step on a treadmill with assistance, and, over time, to regain voluntary movements of his limbs. Using a combination of experimentation, computational models of the array and spinal cord, and machine-learning algorithms, Professor Burdick and his colleagues are now trying to optimize the stimulation pattern to achieve the best effects, and to improve the design of the electrode array. Further advances in the technology should lead to better control of the stepping and standing processes.