Dr. Dario Dematties, received his PhD. degree at the Institute of Biomedical Engineering in the University of Buenos Aires. He has worked to identify neuroanatomical and physiological features in mammalian cortical tissue that could leverage phonetic perception invariance and generalization as well as higher linguistic functions such as grammar and semantic sentence classification in biologically inspired computational models.
Dr. Dematties uses a computational approach completely unsupervised that incorporates key neurophysiological and anatomical properties that exist in brain cortex running his models on Cooley nodes (a visualization and analysis cluster at Argonne National Laboratory).
During the last years, one of his main activities has been related to High-Performance Computing and to run a profiling test of his computational approach on Cooley (Argonne Leadership Computing Facility Allocation).
