Neural information processing

While much progress is being made on computer vision and machine learning techniques, they are still no match for animal visual systems. One unique feature of the visual cortex is the amount of effort it spends determining a "good encoding" of raw sensory stimuli before sending this representation to higher areas where more complicated tasks are performed. We are developing novel approaches for dimensionality reduction and information fusion that may yield superior performance in higher-level vision tasks. In addition to neurally inspired techniques for dimensionality reduction, we also work with experimental collaborators at Baylor College of Medicine on analyzing multi-electrode array and two-photon imaging data recorded from sensory neurons.

Other Research at Rice