An EETimes article summarizes research at the University of Texas as San Antonio's Cajal Neuroscience Research Center to reverse-engineer the neurons of the human brain. They hope to learn how to create better, more reliable computers that employ stochastic computing components. The research integrates electrophysiological, imaging, and structural observations of neurons into detailed biophysical models. Simulating even a single neuron accurately requires lots of computation and the group is installing a 120 node processor cluster to help handle the load. For more see the press release from Interactive Supercomputing, the hardware provider.