At the March 24 New Technology Seminar, Michelle Hribar, NAS Systems Division, suggested a method for automating the process by porting codes using parallelization tools and compilers. At the March 12 New Technology Seminar, Suhrit Dey, from the Mathematics Department at Eastern Illinois University, discussed how large-scale nonlinear models can be subdivided into a number of nonlinear subsystems. These subsystems can then be solved in parallel by applying a Newton-type algorithm. Entropy and Information in Neural Spike Trains. The nervous system represents time-dependent signals in sequences of discrete, identical action potentials or spikes.
Information is carried only in the spike arrival times.
At the February 23 New Technology Seminar, Steven Strong, Institute for Advanced Study at Princeton University, explained an approach that can be applied to the analysis of experiments on a variety of systems. He explained that, in order to identify the important statistical features of neural spike trains, the information in these systems must be quantified. An Ab Initio Approach. Jorge Seminario, Department of Chemistry and Biochemistry at the University of South Carolina, discussed an ab initio approach to molecular electronics at the February 19 NAS Nanotechnology Seminar. Molecular-scale electronics is a field of study that proposes the use of single molecules as the key components in future computational devices.